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Cognitive Engineering PSYC 530 Automation and Human Performance

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Human Performance in Automated Systems. Designing for Effective ... Source: LEE, J., & MORAY, N. (1992). Trust, control strategies, and allocation of function ... – PowerPoint PPT presentation

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Title: Cognitive Engineering PSYC 530 Automation and Human Performance


1
Cognitive EngineeringPSYC 530Automation and
Human Performance
  • Raja Parasuraman

2
Overview
  • Characteristics of Automation
  • Human Performance in Automated Systems
  • Designing for Effective Human-Automation
    Interaction

3
  • Automation Definitions and Characteristics

4
Automation is Ubiquitous
  • Aviation
  • Air traffic control
  • Ground and maritime transportation
  • Process control and manufacturing
  • Military command and control
  • Medicine and health care
  • Intelligent agents
  • Home automation
  • Robotics
  • Drug design/Molecular genetics

5
What is Automation?
  • A machine or system that accomplishes (partially
    or fully) a function that was previously carried
    out (partially or fully) by a human operator

Source PARASURAMAN, R., RILEY, V. (1997).
Humans and automation Use, misuse, disuse,
abuse. Human Factors.
6
Advanced Automation Boeing 777
EICAS
NAV DISPLAY
PAPER!
PRIMARYFLGHT DISPLAY
7
Reasons for the March Towards More Automation
  • Cost
  • Safety?
  • Technical Capability
  • Human Factors?

X
8
Grounding of the Cruise Ship Royal Majesty,
Nantucket, 1995
9
Grounding of the Cruise Ship Royal Majesty,
Nantucket, 1995
  • Accident Grounding of passenger ship on Rose and
    Crown shoal near Nantucket Island, MA
  • Losses 2 million structural damage 5 million
    lost revenue no injuries or fatalities
  • Automation Autopilot Automatic Radar Plotting
    Aid (ARPA) Global Positioning System (GPS)

10
Grounding of the Cruise Ship Royal Majesty,
Nantucket, 1995
11
Grounding of the Cruise Ship Royal Majesty,
Nantucket, 1995
  • NTSB Probable Cause Over-reliance on automated
    features of the integrated bridge system
    management failure to ensure officers adequately
    trained in automated features
  • Human-Automation Issues automation complacency
    crew resource management training

12
NTSB Report Conclusions (Extracts)
  • the GPS receiver antenna cable connection
    separated enough that the GPS switched to dead
    reckoning mode, and the autopilot.no longer
    corrected for the effects of wind, current or
    sea.
  • the watch officers monitoring of the status of
    the vessels GPS was deficient throughout the
    voyage
  • .deliberate cross-checking between the GPS and
    the Loran-C to verify positionwas not being
    performed.
  • .all the watchstanding officers were overly
    reliant on the automated position display.and
    were, for all intents and purposes, sailing the
    map display instead of using navigation aids or
    lookout information

13
  • Human Performance in Automated Systems

14
Human Performance
  • Cognitive Processes
  • Visual Attention
  • Mental Workload
  • Vigilance and Monitoring
  • Working Memory
  • Situation Awareness
  • Decision Making
  • Social Processes
  • Trust in Automation
  • Attitudes

15
Levels of Automation
  • HIGH 10. The computer decides everything, acts
    autonomously, ignoring the human.
  • 9. informs the human only if it, the
    computer, decides to
  • 8. informs the human only if asked, or
  • 7. executes automatically, then
    necessarily informs the human, and
  • 6. allows the human a restricted time to
    veto before automatic execution, or
  • 5. executes that suggestion if the human
    approves, or
  • 4. suggests one alternative
  • 3. narrows the selection down to a few, or
  • 2. The computer offers a complete set of
    decision/action alternatives, or
  • LOW 1. The computer offers no assistance
    human takes all decisions and actions.

Source SHERIDAN, T. B. (1992). Telerobotics,
Automation, and Supervisory Control. Cambridge,
MA MIT Press.
16
Human-Automation Interaction Some Empirical
Methods
  • Human-in-the-loop Simulation
  • Human Performance Modeling
  • Quantitative Models
  • Field Studies

17
A Field Study?
18
Automation and Human Performance
  • Automation can fundamentally change the nature of
    the cognitive demands and responsibilities of the
    human operators of system--often in ways that
    were unintended or unanticipated by designers

19
Automation and Human Performance Benefits
  • Improved precision of performance
  • Operational flexibility
  • Reduced mental workload
  • Enhanced safety (automated warning systems)

20
Automation and Human Performance Potential Costs
  • Unbalanced mental workload
  • Automation complacency
  • Loss of situation awareness
  • Mode error/confusion
  • Manual skill degradation
  • Degraded teamwork/communication

21
Automation The Double-Edged Sword
  • Automation often provides clear benefits
  • Automation can also lead to novel, unanticipated
    problems and performance costs
  • Which tasks should be automated and to what
    level for optimal control, performance, and
    safety?
  • Technologists Automate tasks as fully as
    technically possiblethe technological
    imperative
  • Human factors engineers Automate to an extent
    that balances efficiency with safety and
    ensures a proper role for the human in the
    resulting system

22
Automation Can But Does Not Always Reduce Mental
Workload
  • Clumsy AutomationIncreases mental workload
    during high task load, reduces it during low task
    load
  • Cognitive OverheadAutomation is difficult to
    engage, adjust, or turn off

Sources WIENER, C. E. (1988). Cockpit
automation. In E. L. Wiener D. C. Nagel (Eds.)
Human factors in aviation. San Diego Academic
Press. KIRLIK, A (1993). Modeling strategic
behavior in human-automation interaction Why an
aid can (and should) go unused. Human Factors,
35.
23
Effects of Level of Automation on Situation
Awareness
  • Levels of SA
  • Level 1 Perception
  • Level 2 Comprehension
  • Level 3 Projection

Source Endsley, M., Kiris, E. (1995). The
out-of-the-loop performance Problem and level of
control in automation. Human Factors, 37, 390-398.
24
EFFECTS OF LEVEL OF AUTOMATION ON OPERATOR
SITUATION AWARENESS
100
90
SA LEVEL 2 ( Correct)
80
70
Manual
Decision Support
Consensual AI
Monitored AI
Full Automation
LEVEL OF AUTOMATION BEFORE AUTOMATION FAILURE
25
Trust Affects Automation Usage
  • Over-trust (Complacency)Inappropriate use and
    over-reliance on automation
  • Under-trust (Distrust)Disuse or turning off of
    automation

The goal is to achieve calibrated trust that is
matched to the situation
Source LEE, J., MORAY, N. (1992). Trust,
control strategies, and allocation of function In
human-machine systems. Ergonomics. PARASURAMAN,
R., MOLLOY, R., SINGH, I. L. (1993).
Performance consequences of automation-induced
"complacency." International Journal of
Aviation Psychology.
26
Automation Trust and Complacency Study
  • 24 Experienced General Aviation Pilots
  • 2 Levels of DifficultySingle and Multiple-Task
  • 2 Levels of Automation (Manual, Automated)
  • Task Carry out primary flight and fuel
    management tasks manually, monitor automated
    engine-systems task

27
Multi-Attribute Task Battery (MAT)
28
  • Human Operators Are Poor at Monitoring Automated
    Systems When They Are Simultaneously Engaged in
    Other Manual Tasks


MANUAL
AUTOMATED
100
Cost of Automation Complacency
80
DETECTION RATE ()
60
40
20
0
SINGLE-TASK
MULTI-TASK
29
  • Designing for More Effective Human-Automation
    Interaction

30
Make Automation State Indicators and Behaviors
More Salient
  • Use Display Integration to Improve
  • the Observability of Automation Behaviors

31
Engine Indicator and Crew Alerting System (EICAS)
EPR
Detecting a Malfunction Requires
Manual Integration over Several Engine
Parameters
N1
EGT
32
Engine Monitoring and Control System (EMACS)
33
Effects of Display Integration on
Human-Automation Interaction
EICAS (Non-Integrated)
EMACS (Integrated)
34
Use of Multi-Modality Feedback to Enhance
Human-Automation Interaction
Glass Cockpit Simulator
Tactile Feedback System
Roll Mode Transition
Autothrottle Mode Transition
35
(No Transcript)
36
Summary of Human Performance
  • Certain automation designs can lead to unbalanced
    mental workload, reduced situation awareness,
    and miscalibrated trust and complacency
  • The irony of automation (Bainbridge,
    1983)highly reliable but imperfect automation
    has a greater cost than less reliable automation
    when the automation fails
  • Some of these costs can be mitigated using
    integrated displays, multi-modality feedback,
    ecological interface design, and adaptive
    automation

37
Evaluative Criteria Human Performance
  • Mental models
  • Communication and coordination
  • Mental workload
  • Situation awareness
  • Trust and complacency
  • Cognitive skills
  • Teamwork

38
Additional Evaluative Criteria
  • Production and Operating Costs
  • Automation Reliability
  • Costs of Decision/Action Consequences
  • Efficiency/Safety Tradeoffs
  • Ease of System Integration
  • Liability Issues

39
Implementing Human Factors in Automation Design
HUMAN-MACHINE SYSTEMS APPROACH
Design
Development
Fielded System
Operations
Human Factors Science and Engineering
40
Automation design should not consist of cleaning
up the designers mess afterwards.
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