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An Approach to the Life Cycle

Evaluation of Complex Systems

MIT Humans and Technology Symposium, January 23, 2006

Donald Cox, Bill Long, Lisa Stevens

Donald Cox, Bill Long, Lisa Stevens

Sterling Wiggins, Cindy Dominguez, Tom Miller

Sterling Wiggins, Cindy Dominguez, Tom Miller

Klein Associates Division, ARA

Klein Associates Division, ARA

donald@decisionmaking.com

(2)
(3)

Thesis

In order to provide useful, practical,

theoretically grounded feedback on the

development of complex socio-technical

systems, we must bring individual

techniques together to provide an

evolving view of the system as it

develops.

(4)
(5)

Cognitive(!)

Metrics!!

(6)

On Metrics

There are too many simplistic metrics that

don't capture the essence of whatever it is that they are supposed to measure. There are too many uses of simplistic measures that don't even recognize what attributes are supposedly being measured. Starting from a detailed

analysis of the task or attribute under study might lead to more complex, and more

qualitative, metrics, but we believe that it will also lead to more meaningful and therefore more useful data.

(7)

Evaluation

{

Measurement

{

Scoring

(8)

Measurement

{

Observation of a quantitative

attribute

{

Requires that the attribute be shown

to have the appropriate structure

{

“Quantitative structure is but one

(important) kind amongst many and

it holds no franchise over scientific

method in its entirety.” (Michell,

1999)

(9)

Scoring

{

Quantification for the purpose of

comparison

{

Examples: EPA MPG testing, school

grades

{

Useful given a substantial empirical

base

(10)

Assessment

“Assessment, however, is concerned

with determining the significance,

importance, or value of an event and

refers to the procedures used to obtain

information and form value

judgments…”

(11)

What Now?

“To be effective, however, an

evaluation program must

match the dynamics of the

system to which it is applied.”

(12)

Safety Case

We define a safety case as:

“A documented body of evidence that provides a convincing and valid argument that a system is adequately safe for a given application in a given environment

To implement a safety case we need to

◦ make an explicit set of claims about the system

◦ produce the supporting evidence

◦ provide a set of safety arguments that link the claims to the evidence

◦ make clear the assumptions and judgments underlying the arguments

◦ allow different viewpoints and levels of detail

(13)

Cognitive Performance Case

We define a cognitive performance case as:

“A documented body of evidence that provides a convincing and valid argument that a system enable adequate cognitive performance for a given application in a given environment

To implement a cognitive performance case we need to:

◦ make an explicit set of claims about the system

◦ produce the supporting evidence

◦ provide a set of cognitive performance arguments that link the claims to the evidence

◦ make clear the assumptions and judgements underlying the arguments

(14)

Constructing the Case

Cognitive Evaluation Cognitive Assessment Expert Review Macrocognitive Walkthrough Observation of Use Prototype Interview

(15)

Assessment Techniques

Observation of Use High Prototype Interview Resource Demand Macrocognitive Walkthrough Expert Review Low Concept Deployment System Maturity

(16)

Cognitive Assessment

Techniques

(17)

Expert Review

Value:

Early and agile investment of expertise

Purpose:

Map out where to work in the short- and long-term

Activity:

Combine individual

working-through of system implications and unknowns

(18)

Macrocognitive Walkthrough

Value:

Theoretical description of using the system

Purpose:

Find issues by systematic examination of the system

Activity:

Task- and team-based working-through of how someone will construct performance

Output:

Detailed qualitative model of human-system interaction

(19)

Prototype Interview

Domain-based account of what

does or doesn’t work in the design

Output:

Conversation with a person using the system to accomplish their work

Activity:

Engage users to uncover bad

design assumptions and remaining tacit knowledge/practice

Purpose:

Checking our assumptions with the real world of work

(20)

Observation of Use

Value:

Working out what actually goes on in creating performance

Purpose:

See actual performance in detail

Activity:

Observation and reconstruction of use in a natural setting

Output:

Understanding of how work is accomplished with the system

(21)

Cognitive Assessment Guidance

Indicators

(22)

Distilling Expertise

Cognitive Assessment Guidance NDM/CSE Literature

(23)

CSE Practitioners

Klein Associates Gary Klein Recognition-Primed Decisions SA Technologies Mica Endsley SA-Oriented Design Ohio State David Woods

Laws that Govern Cognitive Work

Institute for Human and Machine Cognition

Robert Hoffman

Human Centered Computing

University of Toronto

Kim Vicente

Cognitive Work Analysis

There are similarities around how CSE practitioners

describe and identify systems that support/hinder cognitive functions

(24)

Guidance Indicators

{ Option Workability { Cue Prominence { Direct Comprehension { Fine Distinctions { Transparency { What-If Capabilities { Enabling Anticipation { Historic Information { Direct Involvement { Situation Assessment { Directability { Flexibility in Procedures { Adjustable Settings

(25)
(26)

Organizational Change

{

Why do more?

(27)

CPC Summary

{

Need for evaluation

{

Structured argument

{

Assessment techniques

{

Increasing richness of development

process

(28)

Acknowledgement

Our thanks to the US Navy Naval

Surface Warfare Center

Dahlgren Division (NSWCDD) for

supporting this work through

Contract #N00178-04-C-1069

(SBIR N03-060).

(29)

POC: Donald Cox

Klein Associates

1750 Commerce Center Blvd. N.

Fairborn, OH 45324

937.873.8166

donald@decisionmaking.com

www.decisionmaking.com

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