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IE 590D Applied Ergonomics

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Vincent G. Duffy. Associate Prof. School of IE and ABE. Thursday April 13, 2006. 2. Instructor: Vincent Duffy, Ph.D. Associate Prof. Lecture 19 Automation in ... – PowerPoint PPT presentation

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Title: IE 590D Applied Ergonomics


1
IE 590D Applied Ergonomics
  • Lecture 26 Ergonomics in Manufacturing
    Automation
  • Vincent G. Duffy
  • Associate Prof.
  • School of IE and ABE
  • Thursday April 13, 2006

2
IE 486 Work Analysis Design II
Instructor Vincent Duffy, Ph.D. Associate
Prof. Lecture 19 Automation in Work
Design Thurs. April 5, 2007
3
Automation - Chapter 16 in Wickens, et al.
  • Initial example China Airlines
  • automation did such a good job initially that
    pilots were unaware of the problem .failing
    engine
  • danger of automation on long flights, flight
    crew can be lulled into complacency or
    calm/slow to recognize the need to respond
  • sometimes automation is trusted more than it
    should be

4
QOTD
  • Address the similarities in discussion about
    automation and decision making.
  • Why automate?
  • Briefly describe different levels of automation
  • What are some potential problems in automated
    systems?
  • Briefly discuss automation in complex systems.
  • How should one manage failure of automation?
  • What is the goal of automation?
  • What are characteristics of human-centered
    automation?

5
Similarities between discussion about automation
and decision-making
  • Note that in the discussions about automation
    they talk a lot about decision making.
  • Essentially what you see is that automation has
    some impact on how decisions are made
  • so you see references to Rasmussen and
    discussions about how automation can SUPPORT
    perception, cognition and control

6
Automation decision making
  • Perception one challenge is to make sure
    appropriate/reliable sensitivity so as to not
    cause loss of trust
  • ground proximity warning systems in aircraft
  • Cognition decision making is considered more
    complex than perception
  • so is the development of automated devices to
    replace or assist in functions related to
  • intelligent reasoning
  • Control
  • sensing position and trend cruise control in
    driving controls pedal, but steering is still
    manual

7
Why automate?
  • 1. Either dangerous or impossible for humans to
    perform the equivalent task
  • 2. Humans may carry out the task poorly
  • examples include fatigue on long flights,
  • humans not good at vigilant monitoring
  • 3. To aid the human in doing things
  • recall the human memory is vulnerable to
    forgetting
  • 4. Because the technology is available and
    inexpensive
  • eg. A computer operator may be less expensive
    over time.

8
Stages and levels of automation
9
Problems in automation
  • 1. It may be unreliable
  • key parts may fail
  • 2. Human operator may make an error in use
  • Korean air - shot down over Soviet airspace
  • pilots misprogrammed the navigation system
  • dumb and dutiful
  • 3. Does what it should, but APPEARS to be in
    error
  • eg. Sudden shift in air speed or altitude
  • then operator may make inappropriate intervention

10
Automation in complex systems
  • Combinations of lags and complexity plus
    hazardous processes leads to increased need for
    automation in some cases
  • when things go wrong eg. Three mile island,
    Bhopal, Chernobyl
  • It is important to keep the operator involved
    while monitoring the automation
  • high situation awareness
  • how to do this when there is little to do?
  • An important challenge for the designer

11
Managing failure
  • 1. Ensure safety
  • 2. Minimize damage to the plant
  • 3. Identify the nature of the fault -diagnosis
  • too much concern for one or the other may cause
    additional problems
  • balance is needed - by the manager
  • it is important to keep in mind that good
    displays can help in diagnosis
  • information should be presented in a way that is
    consistent with the operators mental model of
    the plant

12
  • Use of integrated displays may help the manager
    understand the relationships between key plant
    variables
  • example nuclear accident
  • display showed that signal was given to close a
    valve.
  • However, the valve was stuck open and the
    understanding of the current status of system
    cooling was improperly understood by decision
    makers

13
Goal
  • Keep the human in touch with the automated
    process
  • give more authority to the human over automation
  • choose a level of involvement for the human that
    leads to maximum performance
  • and creates maximum satisfaction
  • These may not all be compatible!
  • Especially when we consider that a human out of
    the loop for some time may lose skills!

14
Human-centered automation
  • Wickens suggests
  • Keep the human informed
  • with good displays
  • keep the human trained
  • so long as there is the possibility that they may
    go to manual operations
  • keep the operator in the loop
  • maintain situation awareness without giving back
    the gains of automation (without reverting
    totally to manual control)
  • make the automation flexible and adaptive
  • flexible - one operator chooses control, the
    other not
  • adaptive - the level of automation may change by
    condition

15
Trust
  • Inefficiency or ineffectiveness can lead to
    mis-trust -lack of trust
  • if too much trust - good automation, then
  • poor detection - rare signal events may be missed
    - and poorer detection over time
  • poor situation awareness - many times SA is
    better if they monitor a system than perform the
    task manually
  • however, they are less likely to intervene if
    they dont have confidence or dont think they
    understand how the system really works
  • skill loss - can occur without participation in
    decisions over time
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