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Human factors lecture 3pp

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1 INTRODUCTION TO HUMAN FACTORS Dr Nathan Perry [email protected] 101183 Behavioural Science What is Human Factors? Understand human interactions with a system Factors that influence human performance What is Human Factors? Human Characteristics Task Characteristics Environment Attention capacity Workload Illumination Working memory capacity Level of training Noise Expertise Display design Vibration Communication skills Organisational Culture Climate Personality Technological reliability Altitude
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Page 1: Human factors lecture 3pp

1

INTRODUCTION TO HUMAN FACTORS

Dr Nathan Perry [email protected]

101183 Behavioural Science

What is Human Factors?

Understand human interactions with a system Factors that influence human performance

What is Human Factors?Human Characteristics

Task Characteristics Environment

Attention capacity Workload Illumination

Working memory capacity

Level of training Noise

Expertise Display design Vibration

Communication skills OrganisationalCulture

Climate

Personality Technological reliability

Altitude

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Human ErrorShooter A Shooter B

Variable Error Constant Error

Reason (1990)

Information Processing

Information Processing

Wickens & Carswell (2006)

Information Processing Errors

Slips Not Deliberate Failure of attention

Lapses Not Deliberate Failure of memory

Mistakes Deliberate Wrong course of action

Reason (1990)

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PerceptionQuestion

You are designing a new phone book. Which of the following formats would you choose?

(a) Nathan Perry [email protected] 97726139

(b) Nathan Perry [email protected] 97726139

Cognitive Factors

PerceptionDefinition: Extraction of meaning from information

Processes

1. Bottom-up processing

2. Top-down processing

Cognitive Factors

PerceptionBottom-up processing

Analysis and integration of features

Characteristics Slow

Effortful

Does not require experience

Cognitive Factors

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PerceptionTop-down processing

Perception shaped by previous experience

Recognition of the whole

Characteristics Fast

Relatively automatic

Requires previous experience

Cognitive Factors

Perception: Human Factors Implications

Feature degradation reduces ability for bottom-up perception

Top-down processing still possible with degraded features

Cognitive Factors

Perception: Human Factors Implications

Display of information In context: words perceived top-down

Random numbers: perceived bottom-up

If display provides both text and numbers display numbers in larger font to aid bottom-up

Wickens et al. (2004)

Cognitive Factors

Page 5: Human factors lecture 3pp

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PerceptionQuestion

You are designing a new phone book. Which of the following formats would you choose?

(a) Nathan Perry [email protected] 97726139

(b) Nathan Perry [email protected] 97726139

Wickens et al. (2004)

Cognitive Factors

Perception

Cognitive Factors

Cognitive Factors

Perception

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Cognitive Factors

Perception

Cognitive Factors

Memory

Working Memory: Short-term memory store which enables the manipulation of information

Long-Term Memory: prolonged storage of information for later retrieval

Cognitive Factors

Memory: Human Factors Implications

Working Memory: Processing requirements exceed working memory capacity performance decline

Long-term memory: Inability to retrieve information

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Cognitive Factors

Working Memory

Rail Control Example

Cognitive FactorsDecision-MakingDefinition: Choice between alternative options or courses of action

Theorised to involve:(a) Information acquisition(b) Information interpretation(c) Planning and selecting choices

Cognitive Factors

Decision-Making

Use a range of different decision strategies

Simple Complex

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Cognitive Factors

Decision-Making

Situation Simple or Complex

Requires Accuracy Complex

Little Time Available Simple

Vast amount of information

Simple

Little Task Experience Complex

Cognitive FactorsDecision-Making: Expertise Interviews with expert Fire Ground Commanders

Don’t compare and contrast decision options Recognise the situation

Use cues present in the environment to recall similar situations from memory

Use strategy taken in previous situation

Klein (1989)

Cognitive Factors

Decision-Making: Human Factors Implications

Tendency to limit info. analysis Effortful & time-consuming

Reduced potential for accuracy

Implement systems to reduce effort associated with info. analysis

Perry et al. (2012)

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Cognitive Factors

Decision-Making: Human Factors Implications

Display critical information

Advises on a course of action

Determines and executes course of action

Traffic Collision Avoidance System (TCAS)

Climb! Climb! Descend! Descend!

Cognitive Factors

Attention Information processes require attention

Limited attention capacity Cannot attend to everything

Without attention information unlikely to be processed

Cognitive Factors

Attention: Human Factors ImplicationsAttention required for info processing

Ensure that operators attend to crucial information

Design systems to ensure attention is given to crucial information

Page 10: Human factors lecture 3pp

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Design

Lever underneath seat in van

Q: What will happen if

the lever is pulled?

A: Seat detaches from floor

Design

A: Mop sink

Design

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Design

System Design Airbus A320 accident in Strasbourg 1992

Pilot engaged behaviour that was inappropriate for current mode

Appropriate for different mode

Preparing to land – autopilot Needed change flight angle to 3.3 degrees

Flight management system set in the vertical speed mode Pilot dialled 3.3 into flight control unit In this mode this meant a speed of 3300 feet per minute! Instead of 800 feet per minute

Overreliance on Automation

Role of human operator with automated system is often to monitor

Humans have a tendency to put a lot of trust in automated systems

Out-of-the-loop performance problem Automation Induced Complacency Automation Bias Skill Loss

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Automation-Induced ComplacencySystem Monitoring Tracking

Fuel Management

Parasuraman et al. (1993)

Task

Computer-based flight simulation

Participants task to detect automation failures

Reliability of automation manipulated

Constant vs. Variable

0

0.2

0.4

0.6

0.8

1

1 2 3 4 5 6 7 8 9 10 11 12

Constant

Variable

Total Automation Failure

0

Pro

babi

lity

of d

etec

ting

syst

em

ma

lfun

ctio

n

Trial Block

Modified from Parasuraman et al. (1993)

Automation-Induced Complacency

Reliability

Automation-Induced Complacency

Automation: Human Factors Implications

1. Keep the operator informed

2. Keep the operator trained

3. Keep the operator in the loop

4. Select appropriate levels of automation

Wickens et al. (2004)

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Accident Causation

Reason (2000)

Summary Human factors issues are complex

Role of human factors specialist Facilitate the fit between humans and the system

Role of psychologist Consider the psychological issues to ensure fit between

humans and system


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