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Human Factors: the Key to Well-Informed Decision Making
Episode 219th September 2024 • The Human Odyssey • Sophic Synergistics, LLC
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Welcome back to another episode of The Human Odyssey: A

Human-Centered Podcast

On this episode of The Human Odyssey join Dr.

Jennifer Fogarty, Director of Applied Health and Performance, Rashod Moten,

Human Factors Specialist, and Jaelyn Kelly, Applied Health Specialist, as they

discuss why it’s important to consider Human Factors in your decision-making

process.


This episode of The Human Odyssey was recorded on August

7th, 2024.

Transcripts

Speaker:

Welcome to The Human Odyssey, the podcast

about Human-Centered Design.

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The way humans learn, behave, and perform

is a science, and having a better

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understanding of this can help improve

your business, your work, and your life.

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This program is presented

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by Sophic Synergistics,

the experts in Human-Centered Design.

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So let's get started on today's

Human Odyssey.

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Hello and welcome to The Human Odyssey

Podcast.

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I'm your host, Rashod Moten, and I'm

joined here today with my guest, Dr.

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Jennifer Fogarty,

as well as my colleague and friend,

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Jaelyn Kelly.

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At least

I like to think we’re friends, but,

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today's topic will be

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human decision making and the impact

that human factors has in decision making.

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And, you know, as

I was thinking about today's topic

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I mentioned before, you know, we were

going to go through the background,

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or to speak about the background work

that goes on with cognition and how humans

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get to the decision making process

and work through that process.

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But, we had something

come across our team yesterday,

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and it made me rethink

the entire process and discussion.

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And what I actually want to speak

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about today is how human factors

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impacts specifically

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design, decisions within design, as well

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as, prototyping

just the entire iterative process

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when it comes to designing

and engineering.

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And again,

instead of speaking specifically about,

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you know, the cognitive processes

what I want to start with is just

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you know, in our everyday lives,

you know, we work with, many teams.

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We see the iterative design

process daily.

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How would you guys,

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I guess, describe

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human factors within that process?

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And I'll start with you, if that's okay.

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Sure.

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So a little bit about my background,

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not a formally trained human factors

person.

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Right?

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So I'm formally trained,

if I were to use formal in that sense,

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in, you know, human physiology, right?

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And in human function, watching behaviors,

but always I’m

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trying to understand

kind of the biological premise for it.

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and it's a lot about stimulus, right?

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When we think about

how we react to our world,

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whether it be through a vision

or hearing, or sense of touch,

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but also through pressure and oxygen,

you know,

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and then what do you, what is your body

trying to accomplish in space and time?

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But what I did learn

and through working with human factors

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people, human systems

integration, Human-Centered Design,

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like the very thoughtful decomposition

of the environment you're expecting

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someone to be in to accomplish a goal

like do a task, do work.

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And that applies, again,

to our everyday lives.

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Like, but we take a lot for granted.

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I think, you know, in terms of how,

almost reflexive things have become

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because we've been accustomed

to the environment, we're in

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and how that environment functions

with us.

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I mean common things like a doorknob,

you know,

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like you reach for it, you turn it.

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It's not a real, it's

not a thought process,

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for instance, like at the spinal reflex

level, like there's not a lot of,

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white matter going on

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in terms of decision making anymore.

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But I think, what helped sensitize me

to understanding

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that we have an opportunity to do better,

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not just assume what we have,

going back to your point of, like,

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iterative design and the iteration

to be on the order of minutes,

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hours, days, weeks,

months, years or centuries.

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We work on a scale

with a lot of our customers

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that are probably on the days and weeks

level of iteration as you get

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new information and into something,

but still common everyday things.

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And going back to when I became more aware

of what I took for granted,

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was actually having a child

and watching them for the first time,

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and how they explore their world

and learn from that exploration process.

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But because,

like the doorknob pre-dated them,

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like that

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thing was there and they learned it,

they learned to function with it.

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And or it was guided by us

and other people in our lives.

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But there's other things.

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What has always bothered me

about the concept

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of even simple things,

like a door that we take for granted,

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when you go to a place of business

and where the handle is

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and how the handle is positioned actually

infers the way you interact with it,

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like so, a bar across the door, say

almost at center level is a,

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is instinctually

something you grab and push

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and that's fine if the door is designed

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with respect to your position to be pushed

like either going into a business

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or coming out, it's

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usually coming out of some, a room

or something into an open space.

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But oftentimes,

like someone put the bar on the door

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horizontally and it's a pull.

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So the signaling.

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So I think that is one where like

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there's decision making going on.

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But in the, in this case,

because the way we open doors

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is kind of given to you

when you arrive in the world

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and then experience your world

from the earliest moments of being a human

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that later when you run into,

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and literally

they haven't run into the door, but

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when you now experience someone setting up

this interface to be counterintuitive.

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And that, again, is cognitive dissonance.

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Like you will you put your hands on

something and be like,

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I don't understand

why the door won’t open!

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And I have a PhD

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[Untranscribable due to laughter]

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to be standing at an entrance

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to a room or a building and be like,

I don't understand why this isn't working!

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And it's like, oh, because you were

supposed to do this other thing with it.

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And you're like, okay,

so if you wanted me do this other motion,

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you just had to put the bar vertical

or put a knob on it.

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You know, somehow

how do I actuate this experience.

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So while we can laugh about it,

you know, like in the realm of,

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an austere and extreme environment,

like spaceflight it is a big deal

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to set up an interaction with something,

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in terms of decision

making and, and what, what was either,

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like,

trained in you from a very early period

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of interacting with things versus

something you specifically trained for,

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for your occupation.

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So now we deal with things

like hatches and hatch opening.

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You know, opening cabinets and drawers,

but they have to be built differently

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because they need to stay closed. Right?

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You can't just

gravity is not there to help you.

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So we have to do things differently.

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But then you have to say

have I created a barrier to the thing

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you already know how to do that's

going to create a conflict?

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That cognitive dissonance, and you're

going to struggle with this simple task.

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And that struggle may lead to something

that's a little more serious.

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Right?

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Especially we always say

like under emergency circumstances

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is when you get into a situation

where not understanding how this thing

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you've taken for granted

all your life operates,

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you can't get it opened and

it's a problem, like buildings on fire.

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If the emergency egress

is not set up in a very intuitive

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fashion, you say intuitive meaning

we understood how you think

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about things from the get go,

it can be a very hazardous problem.

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And I've been in recently in a discussion

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about that situation

from a business perspective

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of someone wanting waivers and exceptions,

because it's convenient for them.

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They don't have the money

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and a variety of things

that make sometimes being compliant hard,

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but the other side of the discussion

is not being compliant.

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How does that change the risk of the

really bad thing happening?

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and is there good transparency

about awareness

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about that new,

that risk that you're now engaging in?

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because you tend to be hyper

focused on the thing you want,

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not the thing, you know, the unintended

consequences of what's going on.

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So I have totally had to rethink

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over the 20 years

I've been in business, like

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how to be more aware of

what is a sense and response situation

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and when we're using kind

of ingrained behaviors to operate,

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in our world versus

very specifically retraining

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that is done to operate more safely,

more efficiently and more accurately.

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And the difference between those,

that if you want something to be easy,

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low overhead,

you know, again, on almost a reflex level,

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you got to go with

what is the common trained behavior.

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If you're trying to do something

or you have to do something

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because of the,

you know, the environment of use

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or the task

that you're trying to drive to,

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not only are you going to have to identify

that, but then you have to identify

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how you get there.

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Like sometimes it's a mitigation,

but really it's like

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maybe you have to own the fact

that procedures and training

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have to come into play

to make that a successful

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environment for the human to function.

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Yeah.

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And to your point,

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actually, as far as designing,

just to have it be almost intuitive.

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and going back to knobology,

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well, on doors,

funny enough, went to a meeting

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months passed,

and it's at a hospital, right?

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And one of the,

the room we’re meeting in, mind you, we’re

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in the middle of a hospital, room

we’re meeting in,

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we're standing in front of the conference

room we're going to be walking into.

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And there's a rail on the door,

on both sides of the door.

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I watched three people

try to push and pull

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this door, look around to make sure

everyone saw this.

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Do it again.

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Three people did the same thing,

and then finally someone who worked

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at the building, they came and said, oh,

these are sliding doors.

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So these doors slid.

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These are complete full pane glass doors.

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And like the entire room

front of the room, they're all glass.

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And there was no indication

that this was a sliding door at all.

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Every single person thought it was push

or pull, and in my mind

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I'm thinking, this is a hospital

you need to build in accessibility.

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[Laughter]

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That environment, you know,

as a specific example, like.

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Yeah.

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It is like you just sit there

and that's been,

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you know, our whole area that we need to

continue to populate was like when

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design goes bad, design goes badly.

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Like, you know, oftentimes it's like,

well, from a construction standpoint

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and cost standpoint, those were the doors

that were left over or easy.

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[Untranscribable due to laughter.]

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You step back, those are good.

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Where are they

the right choice? Probably not.

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But yeah helping people like that

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and again it's just one step away.

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Like if there's an emergency in the room,

if someone,

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like this was under calm circumstances,

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these people were frustrated

trying to figure out

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how to operate a door

to get in or out of a room,

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and you're like,

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can you only imagine under non-calm

circumstances what that's gonna look like?

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So trivially, I think, you know,

if you were like, oh, I don't care

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what doors

you put in, but you’re like but you do.

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You know, and you really have to.

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And that's kind of to me, human factors is

the very is the field or discipline

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that is going to drive a very deliberate

evaluation of an environment

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to identify where choices have been made

that either facilitate your goals

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or do not facilitate those goals

and then the next level

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of, well, what do we do about that?

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And you know, people

get a lot of, up in arms like,

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you know, almost

like an audit function or something.

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But in the iterative design world,

it is really proactive in terms

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of trying to transparently say, like,

you can make any choice you'd like,

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but you should certainly understand

the ramifications of those choices.

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To me, you know, this concept of willful

ignorance like, well,

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I didn't know that would happen.

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I'm like, well, it was knowable.

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There's many times where it was,

if you had done the hard work and,

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you know, had, a diverse

group of people in the room to make,

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you know, the observations from their

perspective, which to your point, people

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with varying abilities or disabilities,

to understand the world from their view of

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in a wheelchair, on crutches,

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with a cane,

you know, whatever it might be,

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the permutations of it that, like

that is not how I experience the world.

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So you should know.

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And in spaceflight now,

you know, we've become accustomed to,

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you know, the prototype of the person

we think has gone and should go -ish. But

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opening the door to people of different

abilities and different capabilities,

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that are going to be experiencing this.

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And now we need to bring them

and they are now,

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you know, the user groups

that have to start to experience

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environments or mock environments and say,

well, how do you experience this world?

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It’s used to work

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for a trained government astronaut

who was doing this for a career,

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probably had ten years, you know,

selecting criteria was pretty rigorous.

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And then ten years of training

or and millions of dollars

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invested in them

to become a trained asset.

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Yeah.

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And, the other situation is

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that is not the case

for the commercial spaceflight endeavor.

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So get them in, help them,

you know, get the feedback.

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Because I don't even think

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for some of us

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who've done this professionally

for a long time, I'm willing to admit,

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I can't anticipate what they're

always going to struggle with or not.

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Yeah.

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So we just have to start

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really helping them experience where it is

and get the data on it.

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And early as early as possible.

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Early and often.

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Jaelyn same question to you.

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So Jenn hit all my points wonderfully.

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That's fair.

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But just as I think

what really caught my eye, ear,

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whatever sense that happened to go through

while you we're talking

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is like I really live in like the

what do we do about that?

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That's been my last couple of months,

especially iterating.

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much like Jenn, I'm

trained in human physiology,

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but I do have a background in physics,

so my

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comedy, I guess, my comedic experience

has been, what do we do about that?

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About the human, do you want the physics?

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Or do you want the physiology?

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Because they're both going

to touch at some point.

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And that's where you get your really good,

really reflexive solution

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that is beneficial to both parties.

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However, you know, the comedy ensues

when the human physics

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and the design physics don't line up

but that's, again, she hit all points.

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It was great. I was enraptured.

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We have talked before.

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We have talked before.

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And given a lot of our common training.

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But I think, it has been helpful,

especially in our company and even when,

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Cynthia, the founder and CEO,

and I have worked together like,

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it was really beneficial

to have those capabilities on board to me,

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at least the observation

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so we had a chance at designing the test

to go pursue, why did that matter?

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And to your point, like,

we're trying to get some solutions.

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And in a design iteration

you've got an opportunity to be proactive,

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make changes, change the course,

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you know, to ultimately get to the goal

we're all trying to achieve.

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Like, what are you trying to achieve here?

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but also from the business case,

what is it going to cost to do that?

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How much money and time?

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But the projection also is,

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if you choose not to do it, here’s

what you're not enabling.

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That's the side that I think

sometimes gets under discussed.

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That you may have actually eliminated

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a group of people or the ability

to do this without months of training.

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You know, there are other factors

that could be documented that say,

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you can choose this solution, but again,

here are the consequences of that.

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So you just have to be mindful that later

there's going to be a different cost.

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Which the cost may include

eliminating certain people

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who may not be able to engage

because of it.

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So it's not trivial,

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and it is a worthwhile investment.

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But yeah, it's probably struggled

on the business case side.

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I mean and not just human factors

alone in the whole world of, you know,

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occupational health, like the concept

of engineering things out.

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People want to kick

that can down the road, potentially.

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They're like,

we don't have time to fix that now.

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I'm like, well,

okay, let's write that down.

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So

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[Laughter]

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We're going to end up revisiting this.

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And it would be good because as,

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as part of a pool of data,

not just a case study, this is a very,

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repetitively experienced issue.

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Right? Redesign.

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Have to ask, you know, just,

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you know, just being experienced,

especially,

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just across industries

and having that same conversation.

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You know,

whenever you do encounter those situations

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because this is a part of Sophic’s

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model as well, as far as ensuring

that we're integrating human factors,

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not only in decision

making at the lower level.

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So the engineering, the design levels,

but also programmatic decision

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making process, do you find that it's

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it is worthwhile

to kind of way to take a step back,

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take note of,

that any pushback you're receiving,

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you know, whenever

we are providing any input or feedback

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or do you find that it's more important,

especially for you as a human factors

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professional to kind of push for, okay,

we need to consider this now,

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or does it just depend on the situation?

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Yeah, I, that is kind of the art of

working with people

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and the art of communication and knowing,

like reading the room.

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A lot of times it's like,

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there's all kinds of elements of the

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like the interpersonal skills

at play here,

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which sometimes in the working meeting,

it may indeed

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be the very appropriate place

to drive the conversation to say,

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you know, let's seriously discuss

redesigning this, even though I understand

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you're always just,

you know, under duress for time and money

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and things of that nature

because you got to do the thought exercise

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if we don't do it

and then have a rough approximation of

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what do you think it'll cost later

if we choose not to do this now?

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In other cases the room,

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the environment you're working

in, the group you're working with

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is not secure enough in their own

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capabilities to really deal with-

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I was just about to say.

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like conflict.

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Sometimes it helps to come in

and fill the gap.

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Yeah.

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So I think that that is when again,

reading the room, you say maybe

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this is something I have to take offline

with a person or two

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where it doesn't look like

you're challenging them, you know,

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and their intelligence or their skill

in whatever they do, or their authority.

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You're not

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trying to just be

difficult for the sake of being difficult.

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Right?

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You already have, you know,

and it is cautioned because some folks

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and it's not just

where you are in your career.

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I've seen a couple different reasons

for doing it,

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but they just have to say stuff like,

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like first of all, like first

take a step back

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and what am I,

if I'm going to say this, is it of value?

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Like is it really contributing

to the conversation and also our jobs,

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and I think that's where it also takes

some guts because you're going to put

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something on the table

that looks like a challenge or obstacle

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that folks could recoil from.

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Because you're like,

well now I know, I might get treated like

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the bad guy.

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The lone- That's a real feeling.

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The lone wolf out there.

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And you’ve got to have the guts

to put it on the table.

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But it's wrong

not to have it on the table.

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So I think it is the art of it.

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Like it may not be at any one time

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the place to do it, but that's

where you're like cataloging it.

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And then you take it offline

where you think the person would be more

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receptive to the conversation,

then it can go back into the bigger group.

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So I worked it a couple of different ways

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because you are dealing with a lot of type

A, very driven people.

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They're all there to make the thing

go. And,

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not always in the heat of the moment

are they going to appreciate

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that you're actually

assisting them with that,

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but when you're adding more work,

or at least the perception of it,

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but for the greater good like otherwise

you're going to end up redoing this later

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where the cost will be much higher. Right?

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The cost could be, you know,

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just never even touch a monetary,

which is like awesome.

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Like, I mean, we don't always try

to exaggerate out that far, you know, for

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just for argument's sake.

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But there are times

you can play a scenario out

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:

pretty quickly,

especially when you're dealing

387

:

with spaceflight, in the vacuum of space,

like those things get serious quickly.

388

:

We don't have a good backup.

389

:

but I think,

390

:

yeah, that is where, in this field

391

:

that you really got to be, have the guts

to put your opinion out there.

392

:

But the self-awareness to say one -

are these words, in my opinion,

393

:

that's backed up by this point of data

valuable to do?

394

:

And I can help guide

you toward a solution, not just like,

395

:

drop the conflict on the table

and be like, good luck with it.

396

:

I ask that because-

397

:

No, sometimes

that's what it takes though.

398

:

You got to like,

here's what we're running into and I think

399

:

at least I don't know in your experience

but in my experience, it's that continued

400

:

not necessarily bringing conflict,

401

:

but framing almost,

it's not piecemealing? Breadcrumbing?

402

:

Whatever word you want to use there, of

like we're going to get there,

403

:

we're going to get there,

we're going to get there.

404

:

Here's how I can

help. We're going to get there.

405

:

It's one of those, like you said,

interpersonal skills, but also kind of

406

:

helping people understand how you can

help.

407

:

I think that's been the biggest,

408

:

not hurdle, challenge, but kind of the,

a bigger piece of it, at least.

409

:

Again,

I don't know if you've experienced it,

410

:

but what I've been doing

these last couple months

411

:

and then I became,

suddenly became important. But

412

:

it was one of those experiences where it's

like, you got to get everybody on board.

413

:

Actually, to your point, like

you already said, present the situation

414

:

and just

you got to be real about it sometimes. But

415

:

that again, that's probably

just my personality talking.

416

:

No, no, no, it's

something I mean, I've experienced it

417

:

with many teams,

you know, especially for human factors

418

:

specifically, it can be implemented

in the human factors methodology.

419

:

Right? You can implement it

in many different ways.

420

:

But even a human factors

professionals,

421

:

the field itself is very broad

and something

422

:

I'm learning, or I have learned over

the last few years is that, you know,

423

:

when I'm

approaching a team, they're seeing

424

:

how they're going to integrate me

into a team in a very specific way.

425

:

And me, personally, I go in thinking

this is the methodology

426

:

that's going to best fit

what you're doing at this moment in time.

427

:

Often, you know, as our goal

428

:

is to make sure any hardware,

429

:

product is going to be efficient

and safe for human use.

430

:

Right?

431

:

So I go in thinking, okay, identify risks.

432

:

How can we best do that?

433

:

What is going to be our analyses

and our approach to analyses?

434

:

Right?

435

:

How are we going to mitigate human errors?

436

:

Things like that.

437

:

So for me coming

438

:

in, that's the first thing

I'm thinking about is, identify the risks.

439

:

But then whenever I present

those potential risks and say, hey,

440

:

this is something we should think about,

of course you get the pushback.

441

:

And I think in past my troub-

my issue has always been, alright.

442

:

Let's pause. Back up.

443

:

Usually it's no, these are the risks.

444

:

These are based on

the initial assessments.

445

:

These are just

what we've identified so far.

446

:

But you know, it's going to be dependant

on where you are in your design process.

447

:

And from that perspective,

I often find myself

448

:

thinking I have to influence that decision

right then and there.

449

:

When in reality, to your point

Jenn, you know, you really,

450

:

bringing it to the table is one thing,

451

:

but then making sure that it is valuable

and it's, it is a real problem.

452

:

You know, you're addressing

a true problem that

453

:

you have identified or a potential issue

that you've identified.

454

:

I think that's always been difficult

for me in the early years.

455

:

That was something I had to work through

mentally and just, okay,

456

:

how do I approach this?

Do I say something now?

457

:

Maybe not.

458

:

Sure,

and I think there's different experiences

459

:

based on whether you're

well integrated into a team.

460

:

And it is being kind of,

you know, facilitative like a team

461

:

activity, versus coming in

like an outside auditor, and different,

462

:

you know, mid-level leadership

will treat groups differently.

463

:

I mean, it's just

464

:

based on their experience

or their preconceived notions of it so

465

:

that's why you got to really read the room

in terms of how can I be effective here?

466

:

The other part of like,

467

:

you know, where is that space

where you can kind of think out loud?

468

:

You know, because again, if you're,

you're in the team and a lot of stuff

469

:

is happening, you're part of the design

and iteration, real time.

470

:

You haven't like,

you know, just like they are working.

471

:

You're also working through like

this could really be a risk.

472

:

You know and to put it,

you know in the team conversation,

473

:

get it on the table.

474

:

But then as your thoughts mature

and you go do

475

:

your evaluation techniques,

get data, look at,

476

:

you know, prior art, as they say, like,

what's a good analogy to this?

477

:

Or you know, what's going on

in the different subsystems.

478

:

So you understand as well,

479

:

and you

480

:

know, having some ground rules around,

481

:

you know,

even when we talk about the job, like,

482

:

what do we expect the people to do?

483

:

And how broad of a range of,

like, diverse sets of people

484

:

from a capabilities,

cognitive, physical are we talking about?

485

:

Going back to my earlier point

about commercial space,

486

:

the idea is just to keep on opening up

those, that aperture.

487

:

Right? And that makes design challenging.

488

:

So you lean on industry to,

who deal with this

489

:

all the time, you know, like automotive,

490

:

you know, the size, shape

491

:

and cognitive function and,

492

:

situational awareness of people

getting in a car and driving is,

493

:

it's extreme variability.

494

:

It also seems like you run into, like,

really new natural con- not new,

495

:

unique natural consequences

of the combination of all of that.

496

:

For sure.

497

:

I mean, there's always like, wow, like

this is why looking at historical

498

:

data is important, but it's not 100%

predictive of the future, right?

499

:

We continue to be surprised

and befuddled by things.

500

:

Not, like it’s

again, like, I don't know it I don't know.

501

:

Like that is a combination of things.

502

:

You're playing between biology and physics

503

:

and engineering like wow,

a lot of things can happen.

504

:

But, you know, the important part

is to continue to be in a learning mode,

505

:

accept that you have to talk about

uncertainty

506

:

to be realistic, which again, when you're

coming to the table, that's authentic.

507

:

Right?

508

:

You come in and when you talk about

risk, it's not a single number.

509

:

Right? And it has a lot of dependencies.

510

:

So again you come to the table.

511

:

I was more successful when I would come

to the table with a risk.

512

:

Or it starts out as an issue.

513

:

Like it is something

514

:

you want to talk about before

you can even transform it

515

:

into like a formal

and articulate it as risk.

516

:

But then you're coming with solutions.

517

:

And one of the solutions is “accept”.

518

:

What I think

519

:

we've learned a lot from

and I put a priority on and that comes,

520

:

you know, part of the integrity

that that we have as a company

521

:

is the transparency of that conversation.

522

:

You can choose to accept it.

523

:

But you have to document

it and has to be at some level,

524

:

you know, moved up the chain

so they understood what risks were

525

:

accepted as the design process occurred

and how much,

526

:

you know, horizontally

527

:

has happened with your peer systems

so that they knew

528

:

what the decisions were because

everybody's got a series of choices.

529

:

So that goes back to you know,

530

:

the hierarchical need for systems

engineering and integration.

531

:

You know, get SE&I together because now

we all have to come to the table,

532

:

let's talk about where we had latitude

to choose why we chose what we did?

533

:

What risk posture did we end up in?

534

:

And then how did, when you have

to interact with these other subsystems,

535

:

which includes the human.

536

:

What were their choices?

537

:

And you know what,

where did they land in their risk posture?

538

:

And how well did

those puzzle pieces work together?

539

:

Where do things do things

have to be reworked and reprioritized?

540

:

And then up a level is people,

you know, people in positions of authority

541

:

who can reallocate resources,

such as money and time and priorities

542

:

to help manage that, that challenge.

543

:

So human factors at least is, at least,

544

:

it is putting quantifiable,

objective information on the table.

545

:

You know, we layer in, we embed applied

health and performance in, we really

546

:

prefer like the overarching term

being Human-Centered Design.

547

:

The government industry world

is going to be human system integration.

548

:

And so human factors

as you said, is methodologies, it’s

549

:

a toolset to come in

and be objective and quantifiable.

550

:

So applied health and performance also

uses tools to be on the human side of what

551

:

they bring to the table also has tools

to be objective and quantifiable.

552

:

So we don't have to talk about

what we think or what we feel.

553

:

We can talk about what we measured

and we may have to go outside

554

:

of course, our natural experience base

or what we can measure in any one test

555

:

because it's just not large enough. Right?

556

:

So we use, you know, access to databases

that, you know, again

557

:

we talk about applicable but

558

:

give us something

but there's some uncertainty.

559

:

Why someone wants to pay

for new data to be generated.

560

:

Which is where you get

into these business case conversations.

561

:

But I think it creates a paradigm

where very legitimately

562

:

you come to the table with value added,

563

:

and a path forward of solution sets

or at least

564

:

the transparency of documenting

what you choose, chose to acce-

565

:

why you chose where you are

and what you chose to accept.

566

:

And you still have corporate memory of,

what are my other choices

567

:

if I have to go and manage conflict

with another system?

568

:

Or integration with another system?

569

:

So I think it's brought a lot,

clearly a lot to the table

570

:

to result in better design

and opportunities to even iterate later.

571

:

Given you may have had to accept something

because of whatever

572

:

was your goalpost of the day,

whether it be a design

573

:

review or a deliverable, have,

you know, a functional unit to work.

574

:

You know?

575

:

You had a constraint, time, money.

576

:

This technically was the best

we could achieve to the goals

577

:

of whatever it was you had determined

by the kind of contractual relationship.

578

:

But if you get another shot at it,

if there's a round two,

579

:

if there's a version two and three

and four and five, you have a place

580

:

to learn from and a place, again,

581

:

I talk a lot about design reference

missions and concept of operations being

582

:

so important contextually to understand

why you're doing what you're doing.

583

:

How close can you get to the goalpost?

584

:

And if given different resources,

can you get there?

585

:

and again, having anything that amounts

586

:

to quantifiable and objective

data is way more helpful than equals.

587

:

And it's never to disrespect

someone's experience base.

588

:

There's a lot of that, especially

in our industry where, you know, it's

589

:

not, it's not like big

data, it's deep data.

590

:

Right? Because it's in a small field.

591

:

So experience based is

592

:

amazing, but it's not evidence based.

593

:

I don't think people realize

how also big and deep,

594

:

you know, human factors really is

because, again, these last few months

595

:

have been eye opening for me and relating

my experience and my academic training.

596

:

Right?

597

:

You know, sitting at tables talking about

optics and lasers and color filters

598

:

and you’re like, you don’t

think about that really being human

599

:

but you’re like,

no, no, no, it's very human.

600

:

Or you're sitting there-

601

:

You can talk about rods and cones.

602

:

Rods and cones in the eye,

or you're talking thermodynamics,

603

:

but we're not doing the calculus.

604

:

You're just like,

I care about heat and energy

605

:

and how that's going to screw up

my performance.

606

:

Like, we're, we have the ability to at

least, you know, I know our company does.

607

:

We have the ability to go that deep

and at that depth and go

608

:

just far beyond, you know,

609

:

if we want to go that route.

610

:

But it's so-

611

:

To infinity?

612

:

To infinity and beyond.

613

:

I know there's an Interstellar

614

:

reference

coming out of my brain somewhere but

615

:

I don't, I don't actually like I didn't

616

:

understand coming in

how deep human factors could get.

617

:

And then I started doing it.

618

:

This, so it is deep data

and it is very, very quantitative.

619

:

You can touch it. It's tangible.

620

:

I just, you know, I think I've understood

621

:

or experience people don't other people

don't actually understand that.

622

:

And it really does translate

into real world consequences or real world

623

:

design updates or changes they’re just,

so the iterations

624

:

going back to kind of your concept

are just so fast and so close together.

625

:

No one actually ever really notices.

626

:

Yeah and that's I guess

it makes me think of, not to switch gears

627

:

too much, but you know, in gaming,

628

:

that's one space where you do

get to see those variations, right?

629

:

Once they're brought to market. Yes.

630

:

And I think in terms,

going back to acceptance.

631

:

Right? So for accepting risks,

632

:

I think of

633

:

the Wii, Nintendo Wii,

going back to the controller, right?

634

:

That, the first iteration

of that controller without the grips

635

:

and just-

636

:

The wrist strap?

637

:

Yeah having just the wrist strap

638

:

and no one actually using it

and seeing the videos of people

639

:

playing tennis and then throwing it

or hitting themselves in the face.

640

:

And I think to myself, now,

you know, being in industry,

641

:

that was just a risk

that was accepted at that point.

642

:

And then,

643

:

after they released the initial console

with the controllers,

644

:

then they released the grips,

the handgrips and then the industry,

645

:

they also included the instructions

for the wrist strap before you, once

646

:

you turn on the console, attach the strap,

647

:

put on the grips if you need them,

you know, things like that.

648

:

And I mean, I can go down the list of,

you know, different consoles.

649

:

So going back to the Atari,

when it comes to decision making,

650

:

that decision

making process is very simple.

651

:

You have a joystick,

and then they had buttons.

652

:

That was it.

653

:

There was just one joystick and then

the separate buttons later down the line.

654

:

And it was very simple

to kind of move up and down.

655

:

If I remember there was one game

I played when I was a child.

656

:

Atari at that point was pretty outdated.

657

:

But, there was a,

I think there was the only football game

658

:

that they released on Atari.

659

:

but I remember

just trying to figure out as a child

660

:

how to play this game,

but it became very simple.

661

:

It would almost, just because I had to use

two fingers on the joystick.

662

:

And that was it. It was very easy.

663

:

But looking today, you know,

664

:

the designs have progressed so much. But

665

:

other consoles have figured out

666

:

you just need the D-pad and joystick

and the buttons right here.

667

:

You know, I really don't have to think

too much about the process,

668

:

but then I go back to the Wii

and the Switch

669

:

you know, and thinking about all of that,

you know, as it applies to gaming,

670

:

you know, I think that's one example

that we could use to say, you know what?

671

:

We can see the real impact

on data of process and design.

672

:

But I want to ask you guys, have you,

do you have any other examples

673

:

in different industries where, you know,

you can clearly see the impact of

674

:

not only human factors,

but just integrating the methodologies

675

:

from both human factors as well

as, health and human performance as well.

676

:

You know?

677

:

If I may, tag on

to your controller example,

678

:

I have small hands.

679

:

I'm a small person.

680

:

So when Sony released their PS3,

681

:

they released that really clunky,

bulky controller.

682

:

Now queue me, am I allowed to call out

specific video games?

683

:

Okay, cue me trying to play Dishonored,

where you have to use both thumbs

684

:

and all of your fingers,

and I'm, I was just sitting there like,

685

:

my hands are entirely too small

for this controller, right?

686

:

Like I can't actually actuate anything

to input a command.

687

:

So, you know, mental demand is going up

here and I'm getting frustrated

688

:

and I put the game down.

689

:

PS4 comes out.

690

:

Controller is a little bit better. Right?

691

:

I go back to play Dishonored

692

:

and I'm like okay, the feel,

the design, little bit better.

693

:

Sad it took them

X amount of years to get here.

694

:

But we're

here, and I can get through the game.

695

:

Queue the PS5 coming out and boy,

696

:

how did they get that controller right?

697

:

I can hold it.

698

:

It fits in my tiny girl hands.

699

:

It fits in larger hands.

700

:

The joysticks are appropriately spaced.

701

:

The buttons are appropriately spaced,

hitting any of the triggers.

702

:

It's a dual, not DualSense,

703

:

what's the new one?

704

:

DualShock? Not DualShock.

705

:

DualShock is PS2.

706

:

That was the early version.

707

:

But there is resistance now

and it's it really interactive

708

:

and it’s haptic feedback in the triggers.

709

:

And it's a interactive experience.

710

:

And yeah, now the controller really

does scream at you but

711

:

These are interesting examples

because they actually,

712

:

you know, we're heavily,

pressured by users.

713

:

Right?

714

:

And so I don't know enough,

you know, inside baseball with them.

715

:

And I definitely

left probably a bit. I left,

716

:

video games behind probably at Atari and

717

:

by the time you got to those controllers

that were just buttons

718

:

and little joysticks, thumb joysticks

like, I have no clue what any button does.

719

:

I pursued other things.

720

:

But I watch people do it.

721

:

I'm into all that.

But it has been interesting.

722

:

I think that was, well,

obviously as a company,

723

:

they probably brought in human factors

people to help.

724

:

They had to.

725

:

Well to meet the market needs.

726

:

It was, because they went to market

with it that way.

727

:

And I guess the question that we would

pursue would be like with the updates

728

:

that are great for your hand,

which may be a 5 percentile female,

729

:

where I talked about anthro measurements,

what happened to the 95% male?

730

:

Like their hands

totally swamped the thing.

731

:

But can they have the big bulky

one that you didn't fit like

732

:

you know, is there interoperability

so that something that is better for

733

:

someone who's above the 50th percentile

versus below the 50th percentile,

734

:

it's just you need to be able to use

either controller

735

:

because the basic operations are the same.

736

:

It's I don't know how the controllers, you

know, communicate with the game overall

737

:

it may be very limited, that’s

a software problem.

738

:

But these are the issues.

739

:

Like again, we deal with that.

740

:

If you're trying to design something.

741

:

That's why like in a car, how much play

there is in all the facets of the seat,

742

:

you know, and the steering wheel, like,

I mean,

743

:

I like my seat up a little higher than my

744

:

spouse who sometimes drives my car

745

:

and complains about it and I'm like, well,

that's why you drive your own car

746

:

where it has, you know,

like multiple options when you get it.

747

:

Like if he just used his key fob he’d

be fine, right.

748

:

But so but going back to these

interesting things, which are generational

749

:

to some extent, like, again, we can talk

about what people were trained to buy

750

:

and are trainable, but joysticks

that had a lot of movement in them

751

:

like the original Atari joysticks, like

when you wanted up, like it moved a lot.

752

:

There was a lot of play.

753

:

Now this actually went

754

:

into the world of high performance,

like aviation.

755

:

Right.

756

:

And how you operate these planes, which

really means your operating a computer.

757

:

And you are trying to give direction.

758

:

Right.

759

:

And the original, stick was just like that

there was a lot of climbing, right.

760

:

So like you slammed it forward.

761

:

You slammed it back.

762

:

Left and right

763

:

and so you had a lot of haptic feedback

with respect to what direction

764

:

and kind of like now versus

765

:

gentle roll or like, we gotta go left now

and it's going to be a dramatic.

766

:

So that for a long time, was

767

:

pilots would experience it

768

:

if they were playing games

and they were experiencing it

769

:

in the cockpit,

their experience in the simulators.

770

:

And then of course

you go to a new generation aircraft

771

:

which been formulating

for some period of time.

772

:

And they are pursuing

new and different capabilities.

773

:

And I remember at one point reading

there was an abrupt change in that stick.

774

:

And that stick lost all motion

and it was just pressure sensitive.

775

:

So the stick didn't move,

but it was responsive

776

:

to how much force you're putting on

and the direction of the force.

777

:

The problem was the human was not getting

the haptic feedback to say the stick

778

:

recognized it until the well, the plane

moved and it’s going to move very quickly.

779

:

But it was a big transition

for those pilots

780

:

who spent 20 years

flying a plane that way.

781

:

And I'm sure it was a big adjustment

782

:

for the prior pilots who were going

from a very different actuator

783

:

to the joystick model.

784

:

Now, the joystick model went

785

:

from having a lot of dramatic haptic

feedback to very little, you know.

786

:

So then they had to go from software

787

:

perspective,

actually recreate haptic feedback.

788

:

So that the person giving the command via

789

:

pressure got the sense like oh,

you know what I'm saying.

790

:

Yeah, yeah. I hear it often.

791

:

Like up, back, left, right.

792

:

We were all being,

it had a responsive nature to it.

793

:

And they realized like, oh we can't just

this is where you have to bridge sometimes

794

:

when you're talking

about a new capability,

795

:

that step function change from one

capability to the next

796

:

is ignoring the fact that the human,

we have trained ourselves

797

:

a certain way based on an experience base

in this age it’s

798

:

very technologically based

and we can get to the other place.

799

:

But there's a transition.

800

:

And I will say that in the world of like

industry, those costs have to be assessed.

801

:

Retraining people

and changing the logistics

802

:

and supply chain are actually a function

of part of the business case.

803

:

Whether to make a change or not.

804

:

And people will not change

805

:

because they're like, is this worth it

806

:

overall for us to move to this,

say it’s a process improvement.

807

:

But what percent improvement does

this have to be to warrant

808

:

all of the infrastructure changes

that have to get us there, which include

809

:

like cognitive retraining,

didactic retraining, you know, like

810

:

and then the people who work on whatever

object it is, you know, the mechanics.

811

:

But it's almost like controller design,

you know, controllers and all.

812

:

I'm not going to come full circle

because it's still evolving.

813

:

But we now have gaming controllers

where you have, you're

814

:

training people on gaming controllers

for things like drones.

815

:

And sub-sea operations, ROVs,

things like that.

816

:

So I guess now we're drawing off of

817

:

the current generation, a

818

:

combined set of generations

user experience to actually,

819

:

I don't know if it actually simplifies

the process or the task.

820

:

But that's the question

that should be tested.

821

:

So not being directly involved

like in that work per se,

822

:

but how much was the

you know, we talked about cognitive load.

823

:

So it's always physical

and cognitive EOC’s

824

:

testing the, talked about load

meaning how much work is being done.

825

:

But then when does fatigue happen

and how does fatigue manifest.

826

:

And those are things like getting better

and smarter

827

:

at tools that help us again

measure them objectively

828

:

cause often fatigue,

829

:

you know,

830

:

is rated on a scale like, you know, even

levels of effort are rated numerically

831

:

and so you transform something qualitative

into quantitative, which, which is fine.

832

:

I mean, that's

833

:

that isn't a necessary thing.

834

:

But we're also seeking biomarkers and

other things that are more indicative and

835

:

agnostic with respect to your opinion.

836

:

You know, given in your self-assessment

and say, like,

837

:

I know you said you were fine

and it wasn't terrible,

838

:

but your eyes could not track.

839

:

Like your brain is fatiguing out

and trying to get to the part

840

:

of how sensitive and specific

are some of these biomarkers.

841

:

And I mean a very broad,

a very broad characteristic of biomarkers,

842

:

meaning like something like eye

tracking is a biomarker,

843

:

I'm not just saying

blood and urine sample,

844

:

you know, biological measures but

845

:

those are very interesting.

846

:

And it

I think in our world, like professionally

847

:

for people, they should be integrated

into these systems.

848

:

Not thought of as something

that has to be done in addition

849

:

because they're part of the work.

850

:

So it's like as you're sitting

staring at a computer screen,

851

:

you computer has a camera,

and I know you get

852

:

probably a whole other podcast

on, you know, privacy.

853

:

[Untranscribable due to laughter.]

854

:

There’s benefits to be had there

but there's risks.

855

:

but the idea that that camera could be

856

:

doing an eye tracking assessment

while you're reading

857

:

and the concept would be a software

algorithm in the background.

858

:

Understand your baseline and, you know,

you have to have some interaction with

859

:

it, like, I feel great today.

860

:

I had six or more hours of sleep

and I, you know, I'm raring to go

861

:

I had four cups of coffee

and then, you know, and you go at it

862

:

and whatever your interaction is, that is

the concept of your job or your task

863

:

and you know what success is.

864

:

You know, you go through your reading

865

:

your papers, you're doing your editing,

you’re you know building your report.

866

:

And like, life is good.

867

:

And then it's like four hours later

you've been at it

868

:

and suddenly, like, your eye

tracking is drifting.

869

:

Your reaction times are slower,

your keystrokes are sloppy,

870

:

you're making more mistakes,

and it's like you really need a break.

871

:

You know, like the

the concept of helping people be better

872

:

by using these tools

that are accessing them

873

:

and are sensitive and specific

to certain outcomes, meaning like,

874

:

you may not be willing

to admit you’re fatigued,

875

:

but you're showing all the signs

and symptoms of fatigue.

876

:

The best thing you could do for yourself

is go step away

877

:

from this interface

so you know save it up.

878

:

Lockdown. Go take a walk.

879

:

Go have your lunch. Then come back.

880

:

But you need to walk away from it.

881

:

Because we have particularly

in, high risk occupations,

882

:

you have a lot of go fever.

883

:

And again from a human factors sense

when we talk about assessing risk

884

:

and the idea of fatigue,

it becomes very, amorphous discussion.

885

:

You're like,

no, I'll just suck it up and get it done.

886

:

It was like, well, I understand that.

887

:

But that

may not be the safe and right choice.

888

:

You know, we all struggle with that.

889

:

Like,

you know, I can drive another ten minutes.

890

:

I can, you know, and go at this paper

another hour and you're like, well,

891

:

now I spent an hour staring at it,

wasn't able to complete a sentence.

892

:

Was that a good use of my time?

893

:

So in the end there's lots of ways

to apply these tools that I think

894

:

could be used to help the individual

as well as the goals of whoever

895

:

while you're there, whether it be for

pleasure or for work, or for medical care.

896

:

I mean, this goes for surgeons, too.

897

:

And I didn't

898

:

talk about some of the robotic surgery

where, similar to all this gaming.

899

:

You know, someone’s performing,

and now it's,

900

:

remote medicine,

robotic surgery happening.

901

:

Which is absolutely amazing.

902

:

But you really want objective assurance

that the person operating these devices,

903

:

the robotic arm on any spaceflight vehicle

that that they are

904

:

in the condition,

the right space to go do this.

905

:

And if they're not,

the technology can help

906

:

detect it and give them some feedback.

907

:

And it's not saying you're disqualified.

908

:

What it's saying is you'd be better

at this if you did it 20 minutes from now,

909

:

if you went and did what you could

do to like, rest and recover.

910

:

I think we just we push beyond our limits,

911

:

thinking

that that is the better of the choices.

912

:

And with some of these capabilities,

we could get that help.

913

:

We need to say like, here's another choice

for you and still preserve your outcome

914

:

and actually probably make that outcome

more likely, more safe and more effective.

915

:

But a little it’s you have to consider

like being willing and open to coaching.

916

:

Yeah, that’s very true.

917

:

But I think we're in a place

now where technology might be trying

918

:

to integrate that.

919

:

At least, I know my car does it right.

920

:

It'll show me a little coffee

cup you’re this focused.

921

:

Maybe you should take a break.

922

:

When you're drifting?

923

:

When you're drifting. Things like that.

924

:

And I think the automotive industry

has been on top of some of that.

925

:

You know,

926

:

it also clearly signals when people

are more significantly impaired.

927

:

And again it's non-judgmental.

928

:

It doesn't know if it's alcohol, drugs

or sleeplessness,

929

:

but all it knows

is that you're not staying in your lane.

930

:

It's taking snapshots.

931

:

I think as a whole

932

:

industry is probably trying to move

to that more active sensing and tracking.

933

:

But, you know, we're just not there yet.

934

:

Yeah.

935

:

So we've had a pretty wide

ranging conversation.

936

:

We have.

937

:

And I think it’s been good.

938

:

Same, same, and

939

:

I think we kind of typically

I go into the,

940

:

the phase of the conversation

where we discuss, we wrap up everything.

941

:

But I feel like

we've summarized everything

942

:

throughout the conversation with regards

to how human factors truly does impact

943

:

decision making at every level, with,

with regards to designs across industries.

944

:

So thank you both for joining us today.

945

:

And thank you to our listeners and viewers

for joining us today.

946

:

Once again, this has been an episode

of The Human Odyssey Podcast.

947

:

Please

948

:

find us on

949

:

all social media platforms

including, Spotify,

950

:

Apple and anywhere else, Facebook,

Instagram.

951

:

Where else-

952

:

[Offscreen whisper] YouTube, YouTube

953

:

YouTube as well,

954

:

and-

955

:

Getting help from the gallery.

956

:

Thank you.

957

:

Thank you to our viewers.

958

:

No, but please feel free to,

959

:

as you're watching this video.

960

:

Please don't forget to like

and subscribe as well as, comment

961

:

if you're finding us on Instagram

or Facebook and thank you again.

962

:

Hope see you next time.

963

:

[Laughter]

964

:

The Human Odyssey is presented

965

:

by Sophic Synergistics,

the experts in Human-Centered Design.

966

:

Find out more at SophicSynergistics.com.

967

:

Get smart, get Sophic smart.

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