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Human Error




              Anna L Cox | University College London | anna.cox@ucl.ac.uk
overview


•   a basic taxonomy of human error
•   theory: memory for goals
•   factors that increase error
•   reducing error




                                  Anna L Cox | University College London | anna.cox@ucl.ac.uk
Why study human error?


 •   practically: to avoid catastrophic accidents.
 •   theoretically: to predict when one errs.
 •   Cog Sci: it‟s the same system that produces
     correct behaviour most of the time! Tells us a
     lot about human cognition.



                                Anna L Cox | University College London | anna.cox@ucl.ac.uk
Beatson Oncology Case
•   LN, age 15
•   chemotherapy & 19 of 20 or 21 planned
    radiotherapy treatments
•   Because the tumor type, location, and extent
    and the patient size, age, and medical
    condition vary, the treatment for each patient is
    unique
•   Each dose 58% HIGHER than it should have
    been….and no one noticed
•   Scaling factor wasn‟t entered
                                 Anna L Cox | University College London | anna.cox@ucl.ac.uk
Blame
• "the error ... was procedural and was not
  associated in any way with faults or
  deficiencies in the Varis 7 computer system"
  (Johnston, 2006; ii).
•   “... at no point in the investigation was it
    deemed necessary to discuss the incident with
    the suppliers if this equipment since there was
    no suggestion that these products contributed
    to the error.” (Johnston, 2006; 2)



                                Anna L Cox | University College London | anna.cox@ucl.ac.uk
Accidents due to Human Errors
                                  Human Error         Others
100%



80%



60%



40%



20%



 0%
       Petrochemical   Medicine     Worldwide Jet    US nuclear          Automobiles              Air traffic
           plants                      cargo        power plants                                   control


                                                        Anna L Cox | University College London | anna.cox@ucl.ac.uk
Annual Death Rates in US
100000                                                                            98000

                                One jumbo jet
                               crash every day

50000                                                   43649



                                   14986
                        3959
            329
     0
         commerical   drowning   deaths from      motor vehicle              deaths from
           aviation    deaths        falls           deaths                    medical
            deaths                                                             errors


                                               Anna L Cox | University College London | anna.cox@ucl.ac.uk
Denise Melanson
•   infusion pump
    containing a four day
    dose of two
    chemotherapy drugs,
    5-fluorouracil and
    cisplatin, to administer
    to herself at home.
•   pump dispensed the
    dose in four hours and
    not four days



                               Anna L Cox | University College London | anna.cox@ucl.ac.uk
Blame


•   The nurse incorrectly calculated the dose
•   A second nurse checked the calculation but
    didn‟t notice the error
•   The drug bottle first displayed the per 24hr
    dose, (and then, in brackets the per 1hr dose)




                                  Anna L Cox | University College London | anna.cox@ucl.ac.uk
OptiClik




           Anna L Cox | University College London | anna.cox@ucl.ac.uk
JB’s video




http://www.youtube.com/watch?v=Hm7k0TRaPHI




                         Anna L Cox | University College London | anna.cox@ucl.ac.uk
A system fails to achieve the
               intended outcome in a planned sequence
                     of mental or physical activities




                     Human Errors


       Slips                                      Mistakes


  Incorrect execution of                       Correct execution of
a correct action sequence                  an incorrect action sequence


                                            Anna L Cox | University College London | anna.cox@ucl.ac.uk
Human Errors


              Slips                        Mistakes


Execution         Evaluation       Knowledge                                Rule
  Slips             Slips            Based                                 Based




 •---------           •---------    •---------                            •---------
 •---------           •---------    •---------                            •---------
 •---------           •---------    •---------                            •---------
                                     Anna L Cox | University College London | anna.cox@ucl.ac.uk
Norman‟s Action Theory
                                       Delete file



                                        Goal
 Use delete key
                       Intention                              Evaluation                    Form sub-goal

Select file + hit
   delete”              Action                                                            Nothing happened
                                                             Interpretation
                     Specification

Use mouse and                                                                                 Screen doesn‟t
                     Execution                                Perception                         change
 keyboard to
perform action                         User Activities

  sequence
                                     Physical System

                                        System Activities

                                                            Anna L Cox | University College London | anna.cox@ucl.ac.uk
Mistakes


                    Goal
  Intention                               Evaluation


   Action
                                         Interpretation
Specification


Execution                                 Perception
                   User Activities



                 Physical System

                    System Activities

                                        Anna L Cox | University College London | anna.cox@ucl.ac.uk
Mistakes


  Knowledge-Based                           Rule-Based



  • Faulty conceptual knowledge      • Misapplication of good rules
      • Incomplete knowledge            • Encoding deficiencies in
   • Biases and faulty heuristics                  rules
• Incorrect selection of knowledge    • Action deficiencies in rules
       • Information overload             • Dissociation between
                                            knowledge and rules


                                          Anna L Cox | University College London | anna.cox@ucl.ac.uk
Slips
Execution Slips                                        Evaluation Slips


                             Goal
           Intention                                Evaluation


            Action
                                                   Interpretation
         Specification   Interruptions
         Execution                                  Perception
                             User Activities



                          Physical System

                              System Activities

                                                  Anna L Cox | University College London | anna.cox@ucl.ac.uk
Capture Slip: automatic activation of a well-
     learned routine that overrides the current
     intended activity .




“I intended to pick up
my prescription on my
  way home. I drove
     home directly.”




                                  Anna L Cox | University College London | anna.cox@ucl.ac.uk
Double Capture Slip: The unintended
     activation of a related strong action schema.




 “I meant to take off
 only my shoes, but
took my socks off as
       well.”




                                 Anna L Cox | University College London | anna.cox@ucl.ac.uk
Omission Slip: due to interruptions.




                              Anna L Cox | University College London | anna.cox@ucl.ac.uk
Loss of Activation Slip




                          Anna L Cox | University College London | anna.cox@ucl.ac.uk
Description Slip: incomplete or ambiguous
specification of intention that is similar to a
familiar intention.




                              Anna L Cox | University College London | anna.cox@ucl.ac.uk
Associative Activation Slip: activation of
similar but incorrect schemas.




                             Anna L Cox | University College London | anna.cox@ucl.ac.uk
Perceptual Confusion Slip




                            Anna L Cox | University College London | anna.cox@ucl.ac.uk
Repetition of Action Slip: repetition of an
correctly performed action.



                                                A nurse repeated
                                               radiation therapy to
                                                  a patient three
                                               times in a row, due
                                                to poor feedback.
                                                 The patient died
                                               three months later.




                              Anna L Cox | University College London | anna.cox@ucl.ac.uk
Cross-talk Slip (concurrent): action
    components are exchanged between two or
    more concurrent actions.




        English writing                                    Dutch reading
                   Goal                                                 Goal


 Intention                       Evaluaton
                                       i          Intention                                Evaluaton
                                                                                                 i


  Action                                           Action
                                Interpret tion
                                        a                                                Interpret tion
                                                                                                 a
Specifcation
     i                                           Specifcation
                                                      i


Executi n
      o                         Perce
                                    ption        Executi n
                                                       o                                  Perce
                                                                                              ption



               Physical
                      Systems                                     Physical
                                                                         Systems




                                                   Anna L Cox | University College London | anna.cox@ucl.ac.uk
Cross-talk Slip (sequential): action
     components are exchanged between two or
     more sequential actions.
          “I had just finished talking on the phone when my secretary
          ushered in some visitors. I got up from behind the desk and
         walked to greet them with my hand outstretched saying „Smith
                                     speaking‟.”
Talking on the phone (previous)                             Greeting (current)

                    Goal                                                 Goal


  Intention                       Evaluaton
                                        i          Intention                                Evaluaton
                                                                                                  i


   Action                                           Action
                                 Interpret tion
                                         a                                                Interpret tion
                                                                                                  a
 Specifcation
      i                                           Specifcation
                                                       i


  Executi n
        o                        Perce
                                     ption        Executi n
                                                        o                                  Perce
                                                                                               ption



                Physical
                       Systems                                     Physical
                                                                          Systems




                                                    Anna L Cox | University College London | anna.cox@ucl.ac.uk
Applying Norman’s Action Cycle to
Error Classification

•   Errors are sometimes made when
    programming infusion pumps
•   These errors might occur when entering
    numbers
•   What causes these errors and when to they
    occur?




                              Anna L Cox | University College London | anna.cox@ucl.ac.uk
Number Entry Error Taxonomy




                        Anna L Cox | University College London | anna.cox@ucl.ac.uk
#errordiary


•   We‟re tweeting when we make an error
•   Have a go at classifying these errors using
    Norman‟s action cycle
•   Tweet when you make an error




                                Anna L Cox | University College London | anna.cox@ucl.ac.uk
issues
•  Norman relied on self-report data of errors
    - gives a sense of common everyday errors
    - no reliable estimate of frequency of error
    - cannot determine cause of error
•   move to the lab
    - difficulty is that errors are normally infrequent
    - this brings about issue for how to operationalize design
      and conduct statistical analysis - self-monitoring
    - slip errors occur with routine, procedural tasks
    - critical to train participants to criterion

                                       Anna L Cox | University College London | anna.cox@ucl.ac.uk
post-completion error
• routine, procedural task
    - goal-directed task
    - many subtasks
•   post-completion step
    - the final step in a procedure
    - completed after the goal is achieved
•   post-completion error (PCE)
    - missing the post-completion step
    - US ATM, photocopying, filling petrol, etc

                                       Anna L Cox | University College London | anna.cox@ucl.ac.uk
example: photocopying




                        Anna L Cox | University College London | anna.cox@ucl.ac.uk
memory for goals



                                                                                  Threshold




                                                                        Time


•   goals are declarative memory representations defined by activation
•   most active goal directs behavior
•   activation declines over time, rehearsal can strengthen goal activation
•   associative links between goals propagate activation through network
•   completing ‘make copies’ lessens activation of ‘remove original’
                                               Anna L Cox | University College London | anna.cox@ucl.ac.uk
Working memory capacity & workload




                       Anna L Cox | University College London | anna.cox@ucl.ac.uk
experiment
•   memory for goals predicts that working
    memory load should mediate likelihood of error
•   seminal study: Byrne & Bovair (1997)
    - working memory capacity: with larger capacity the goal
      can be actively rehearsed, making error less likely
    - memory load: with increased load the main goal will
      decay more rapidly so high chance of error because
      post-completion step less likely to reach activation
      threshold




                                      Anna L Cox | University College London | anna.cox@ucl.ac.uk
Byrne & Bovair’s results




                           Anna L Cox | University College London | anna.cox@ucl.ac.uk
Interruptions




                Anna L Cox | University College London | anna.cox@ucl.ac.uk
Interruptions in the real world

•   Nurses are frequently
    interrupted during their duties
•   20% of the time they don‟t go
    back to the task they were
    working on when they were
    interrupted
•   Sometimes it‟s because that
    task is redundant
•   Sometimes it‟s because they‟ve
    forgotten
•   What are the implications for
    patient care?
                                      Anna L Cox | University College London | anna.cox@ucl.ac.uk
•   Could argue that she wasn‟t paying attention
•   She was blamed for not looking at the device


•   But what about when we do direct our attention
    to the device again
•   Does an interruption have any effect on what
    happens next?



                               Anna L Cox | University College London | anna.cox@ucl.ac.uk
Anna L Cox | University College London | anna.cox@ucl.ac.uk
effect of interruption
                         •   Li et al. (2008):
                             multi-step
                             procedural task
                             making doughnuts
                             with purposeful
                             post-completion
                             step
                         •   interrupted to switch
                             tasks to pack
                             doughnuts

                             Anna L Cox | University College London | anna.cox@ucl.ac.uk
effect of interruption
 error rate




                  Interruption position

                                     Anna L Cox | University College London | anna.cox@ucl.ac.uk
Reducing errors (I)


   •   cues



                      Anna L Cox | University College London | anna.cox@ucl.ac.uk
reducing errors


•   system redesign
    - post-completion errors can often be designed out
    - e.g., ATM: card then cash vs. cash then card
    - but not always feasible for large complex systems
•   provide explicit cues
    - must be visually salient, just-in-time, and meaningful
    - cues that are not specific are ineffective
    - habituation is a concern

                                       Anna L Cox | University College London | anna.cox@ucl.ac.uk
visual cueing: Chung& Byrne (2008)




                         Anna L Cox | University College London | anna.cox@ucl.ac.uk
visual cueing, revisited




                           Anna L Cox | University College London | anna.cox@ucl.ac.uk
cue effectiveness




                    Anna L Cox | University College London | anna.cox@ucl.ac.uk
But…

•   Not necessarily the perfect design solution
•   The „just-in-time‟ aspect can make it hard to
    design in
•   And people become habituated to cues that
    are in the world all the time and so they stop
    working




                                 Anna L Cox | University College London | anna.cox@ucl.ac.uk
Reducing errors (II)


   •   Slow down!



                       Anna L Cox | University College London | anna.cox@ucl.ac.uk
effect of interruption
  Error Rate (%)




                                     Interruption Position
data from Li, S.Y.W., Blandford, A., Cairns, P., & Young, R.M.
(2008). Journal of Experimental Psychology: Applied, 14, 314-
                                                       Anna L Cox | University College London | anna.cox@ucl.ac.uk
328.
distribution of errors

                                                                 • working on routine task
                                                                 • interruption occurs
                                                                    in between subtasks
                                                                 • on resumption most
                                                                    common error is to
                                                                    repeat or skip a step
                                                                 • this is because of
                                                      competition between
                                                      goals at time of
                                                      retrieval
data from Trafton, J. G., Altmann, E. M., & Ratwani, R. M., (2009). A memory
for goals model of sequential action. International Conference of Cognitive
                                                       Anna L Cox | University College London | anna.cox@ucl.ac.uk
Modeling, 2009.
Speed-accuracy tradeoff
•   some errors are caused by failure of memory
•   memory is sensitive to changes in speed-
    accuracy tradeoff criterion
•   error rate should be reduced if people invest
    time in thinking about where they were before
    resuming
•   we use an enforced lockout procedure



                               Anna L Cox | University College London | anna.cox@ucl.ac.uk
Anna L Cox | University College London | anna.cox@ucl.ac.uk
lockout reduces error rate
 Error rate (%)




                   Condition

                               Anna L Cox | University College London | anna.cox@ucl.ac.uk
interruption-only trials
 Frequency




               Resumption time (seconds)

                                    Anna L Cox | University College London | anna.cox@ucl.ac.uk
find out more




                Anna L Cox | University College London | anna.cox@ucl.ac.uk
Lockouts in design?



•   What would YOU do if you were locked out of
    a system after an interruption?




                              Anna L Cox | University College London | anna.cox@ucl.ac.uk
implications for design
•   errors will occur, even with skilled users
•   errors reduced by good system design
    - well structured tasks
    - few interruptions
    - low memory demand
    - easy to select buttons
    - salient display (particularly mode indicators)
    - certain visual cues can be useful
•   aid recovery from errors
    - make actions reversible
    - make the results of each action apparent
                                        Anna L Cox | University College London | anna.cox@ucl.ac.uk
Summary
•   Slip errors occur
    infrequently – but are
    persistent
•   Increasing speed =>           •   Cues: have to be “just-in-
    increasing error rate             time” and very aggressive
•   Interruptions => increasing   •   Take your time – slow
    error rate                        down!

•   …err what‟s it like on a
    hosptial ward?? 




                                         Anna L Cox | University College London | anna.cox@ucl.ac.uk
reading
•   core
    - Byrne, M. D., & Bovair, S. (1997). A working memory model of a common
      procedural error. Cognitive Science, 21, 31-61.
    - Norman, D.A. (1981). Categorization of action slips. Psychological Review, 88,
        1-15.

•   supplementary
    - Chung, P.H., & Byrne, M.D. (2008). Cue effectiveness in mitigating
        postcompletion errors in a routine procedural task. International Journal of
        Human-Computer Studies, 66, 217-232.
    -   Li, S.Y.W., Blandford, A., Cairns, P., & Young, R.M. (2008). The Effect of
        interruptions on postcompletion and other procedural errors: An account based
        on the activation-based goal memory model. Journal of Experimental
        Psychology: Applied, 14, 314-328.
    -   Ratwani, R.M., McCurry, J.M., & Trafton, J.G. (2008). Predicting
        postcompletion errors using eye movements. In Proceedings of CHI’08 (pp.
        539-542). New York, NY: ACM Press.
    -   Reason, J. (1990). Human Error. Cambridge University Press.
                                                     Anna L Cox | University College London | anna.cox@ucl.ac.uk
Microwave Racing video




 http://www.youtube.com/watch?v=Bzy5hVvbei8




                           Anna L Cox | University College London | anna.cox@ucl.ac.uk

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Human Error Lecture

  • 1. Human Error Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 2. overview • a basic taxonomy of human error • theory: memory for goals • factors that increase error • reducing error Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 3. Why study human error? • practically: to avoid catastrophic accidents. • theoretically: to predict when one errs. • Cog Sci: it‟s the same system that produces correct behaviour most of the time! Tells us a lot about human cognition. Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 4. Beatson Oncology Case • LN, age 15 • chemotherapy & 19 of 20 or 21 planned radiotherapy treatments • Because the tumor type, location, and extent and the patient size, age, and medical condition vary, the treatment for each patient is unique • Each dose 58% HIGHER than it should have been….and no one noticed • Scaling factor wasn‟t entered Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 5. Blame • "the error ... was procedural and was not associated in any way with faults or deficiencies in the Varis 7 computer system" (Johnston, 2006; ii). • “... at no point in the investigation was it deemed necessary to discuss the incident with the suppliers if this equipment since there was no suggestion that these products contributed to the error.” (Johnston, 2006; 2) Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 6. Accidents due to Human Errors Human Error Others 100% 80% 60% 40% 20% 0% Petrochemical Medicine Worldwide Jet US nuclear Automobiles Air traffic plants cargo power plants control Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 7. Annual Death Rates in US 100000 98000 One jumbo jet crash every day 50000 43649 14986 3959 329 0 commerical drowning deaths from motor vehicle deaths from aviation deaths falls deaths medical deaths errors Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 8. Denise Melanson • infusion pump containing a four day dose of two chemotherapy drugs, 5-fluorouracil and cisplatin, to administer to herself at home. • pump dispensed the dose in four hours and not four days Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 9. Blame • The nurse incorrectly calculated the dose • A second nurse checked the calculation but didn‟t notice the error • The drug bottle first displayed the per 24hr dose, (and then, in brackets the per 1hr dose) Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 10. OptiClik Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 11. JB’s video http://www.youtube.com/watch?v=Hm7k0TRaPHI Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 12. A system fails to achieve the intended outcome in a planned sequence of mental or physical activities Human Errors Slips Mistakes Incorrect execution of Correct execution of a correct action sequence an incorrect action sequence Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 13. Human Errors Slips Mistakes Execution Evaluation Knowledge Rule Slips Slips Based Based •--------- •--------- •--------- •--------- •--------- •--------- •--------- •--------- •--------- •--------- •--------- •--------- Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 14. Norman‟s Action Theory Delete file Goal Use delete key Intention Evaluation Form sub-goal Select file + hit delete” Action Nothing happened Interpretation Specification Use mouse and Screen doesn‟t Execution Perception change keyboard to perform action User Activities sequence Physical System System Activities Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 15. Mistakes Goal Intention Evaluation Action Interpretation Specification Execution Perception User Activities Physical System System Activities Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 16. Mistakes Knowledge-Based Rule-Based • Faulty conceptual knowledge • Misapplication of good rules • Incomplete knowledge • Encoding deficiencies in • Biases and faulty heuristics rules • Incorrect selection of knowledge • Action deficiencies in rules • Information overload • Dissociation between knowledge and rules Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 17. Slips Execution Slips Evaluation Slips Goal Intention Evaluation Action Interpretation Specification Interruptions Execution Perception User Activities Physical System System Activities Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 18. Capture Slip: automatic activation of a well- learned routine that overrides the current intended activity . “I intended to pick up my prescription on my way home. I drove home directly.” Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 19. Double Capture Slip: The unintended activation of a related strong action schema. “I meant to take off only my shoes, but took my socks off as well.” Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 20. Omission Slip: due to interruptions. Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 21. Loss of Activation Slip Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 22. Description Slip: incomplete or ambiguous specification of intention that is similar to a familiar intention. Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 23. Associative Activation Slip: activation of similar but incorrect schemas. Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 24. Perceptual Confusion Slip Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 25. Repetition of Action Slip: repetition of an correctly performed action. A nurse repeated radiation therapy to a patient three times in a row, due to poor feedback. The patient died three months later. Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 26. Cross-talk Slip (concurrent): action components are exchanged between two or more concurrent actions. English writing Dutch reading Goal Goal Intention Evaluaton i Intention Evaluaton i Action Action Interpret tion a Interpret tion a Specifcation i Specifcation i Executi n o Perce ption Executi n o Perce ption Physical Systems Physical Systems Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 27. Cross-talk Slip (sequential): action components are exchanged between two or more sequential actions. “I had just finished talking on the phone when my secretary ushered in some visitors. I got up from behind the desk and walked to greet them with my hand outstretched saying „Smith speaking‟.” Talking on the phone (previous) Greeting (current) Goal Goal Intention Evaluaton i Intention Evaluaton i Action Action Interpret tion a Interpret tion a Specifcation i Specifcation i Executi n o Perce ption Executi n o Perce ption Physical Systems Physical Systems Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 28. Applying Norman’s Action Cycle to Error Classification • Errors are sometimes made when programming infusion pumps • These errors might occur when entering numbers • What causes these errors and when to they occur? Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 29. Number Entry Error Taxonomy Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 30. #errordiary • We‟re tweeting when we make an error • Have a go at classifying these errors using Norman‟s action cycle • Tweet when you make an error Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 31. issues • Norman relied on self-report data of errors - gives a sense of common everyday errors - no reliable estimate of frequency of error - cannot determine cause of error • move to the lab - difficulty is that errors are normally infrequent - this brings about issue for how to operationalize design and conduct statistical analysis - self-monitoring - slip errors occur with routine, procedural tasks - critical to train participants to criterion Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 32. post-completion error • routine, procedural task - goal-directed task - many subtasks • post-completion step - the final step in a procedure - completed after the goal is achieved • post-completion error (PCE) - missing the post-completion step - US ATM, photocopying, filling petrol, etc Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 33. example: photocopying Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 34. memory for goals Threshold Time • goals are declarative memory representations defined by activation • most active goal directs behavior • activation declines over time, rehearsal can strengthen goal activation • associative links between goals propagate activation through network • completing ‘make copies’ lessens activation of ‘remove original’ Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 35. Working memory capacity & workload Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 36. experiment • memory for goals predicts that working memory load should mediate likelihood of error • seminal study: Byrne & Bovair (1997) - working memory capacity: with larger capacity the goal can be actively rehearsed, making error less likely - memory load: with increased load the main goal will decay more rapidly so high chance of error because post-completion step less likely to reach activation threshold Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 37. Byrne & Bovair’s results Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 38. Interruptions Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 39. Interruptions in the real world • Nurses are frequently interrupted during their duties • 20% of the time they don‟t go back to the task they were working on when they were interrupted • Sometimes it‟s because that task is redundant • Sometimes it‟s because they‟ve forgotten • What are the implications for patient care? Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 40. Could argue that she wasn‟t paying attention • She was blamed for not looking at the device • But what about when we do direct our attention to the device again • Does an interruption have any effect on what happens next? Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 41. Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 42. effect of interruption • Li et al. (2008): multi-step procedural task making doughnuts with purposeful post-completion step • interrupted to switch tasks to pack doughnuts Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 43. effect of interruption error rate Interruption position Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 44. Reducing errors (I) • cues Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 45. reducing errors • system redesign - post-completion errors can often be designed out - e.g., ATM: card then cash vs. cash then card - but not always feasible for large complex systems • provide explicit cues - must be visually salient, just-in-time, and meaningful - cues that are not specific are ineffective - habituation is a concern Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 46. visual cueing: Chung& Byrne (2008) Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 47. visual cueing, revisited Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 48. cue effectiveness Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 49. But… • Not necessarily the perfect design solution • The „just-in-time‟ aspect can make it hard to design in • And people become habituated to cues that are in the world all the time and so they stop working Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 50. Reducing errors (II) • Slow down! Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 51. effect of interruption Error Rate (%) Interruption Position data from Li, S.Y.W., Blandford, A., Cairns, P., & Young, R.M. (2008). Journal of Experimental Psychology: Applied, 14, 314- Anna L Cox | University College London | anna.cox@ucl.ac.uk 328.
  • 52. distribution of errors • working on routine task • interruption occurs in between subtasks • on resumption most common error is to repeat or skip a step • this is because of competition between goals at time of retrieval data from Trafton, J. G., Altmann, E. M., & Ratwani, R. M., (2009). A memory for goals model of sequential action. International Conference of Cognitive Anna L Cox | University College London | anna.cox@ucl.ac.uk Modeling, 2009.
  • 53. Speed-accuracy tradeoff • some errors are caused by failure of memory • memory is sensitive to changes in speed- accuracy tradeoff criterion • error rate should be reduced if people invest time in thinking about where they were before resuming • we use an enforced lockout procedure Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 54. Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 55. lockout reduces error rate Error rate (%) Condition Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 56. interruption-only trials Frequency Resumption time (seconds) Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 57. find out more Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 58. Lockouts in design? • What would YOU do if you were locked out of a system after an interruption? Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 59. implications for design • errors will occur, even with skilled users • errors reduced by good system design - well structured tasks - few interruptions - low memory demand - easy to select buttons - salient display (particularly mode indicators) - certain visual cues can be useful • aid recovery from errors - make actions reversible - make the results of each action apparent Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 60. Summary • Slip errors occur infrequently – but are persistent • Increasing speed => • Cues: have to be “just-in- increasing error rate time” and very aggressive • Interruptions => increasing • Take your time – slow error rate down! • …err what‟s it like on a hosptial ward??  Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 61. reading • core - Byrne, M. D., & Bovair, S. (1997). A working memory model of a common procedural error. Cognitive Science, 21, 31-61. - Norman, D.A. (1981). Categorization of action slips. Psychological Review, 88, 1-15. • supplementary - Chung, P.H., & Byrne, M.D. (2008). Cue effectiveness in mitigating postcompletion errors in a routine procedural task. International Journal of Human-Computer Studies, 66, 217-232. - Li, S.Y.W., Blandford, A., Cairns, P., & Young, R.M. (2008). The Effect of interruptions on postcompletion and other procedural errors: An account based on the activation-based goal memory model. Journal of Experimental Psychology: Applied, 14, 314-328. - Ratwani, R.M., McCurry, J.M., & Trafton, J.G. (2008). Predicting postcompletion errors using eye movements. In Proceedings of CHI’08 (pp. 539-542). New York, NY: ACM Press. - Reason, J. (1990). Human Error. Cambridge University Press. Anna L Cox | University College London | anna.cox@ucl.ac.uk
  • 62. Microwave Racing video http://www.youtube.com/watch?v=Bzy5hVvbei8 Anna L Cox | University College London | anna.cox@ucl.ac.uk

Notes de l'éditeur

  1. Complexity of taskWorkloadPerhaps variability in what has to be entered for each patient in terms of types of info and values
  2. #804Colleague forgot her suitcase on the train! Non-routine having suitcase with her, but she followed normal routine on exiting #errordiary#787 Keep coffee at home in freezer. Made coffee @uclic, put coffee back in freezer. @uclic coffee doesn’t live in freezer. #errordiary
  3. #806twitfortune: the art of brewing coffee includes POURING THE WATER into the coffee maker. Not just placing the pot on the hot pad #errordiary#786Filled in a postgraduate application form and then forgot to actually click submit! Realised two days after the deadline :-/
  4. #650Forgot to tweet my error to #errordiary & then couldn’t remember what the error was
  5. #842 - Realise I just moisturised my face with hair cream. My eyebrows look fab. #errordiary#844 - Reached into my bowl of cashews to grab another handful, only to realize I had shoved my hand into a hot cup of coffee. Awesome. #errordiary#700 - The other day I mistook a packet of twiglets for my iphonehttp://t.co/CYDSfXV7http://t.co/Bcv8k66I#errordiary#yummymistake
  6. #537@LAURAbrap: just went a bit mad and started taking plates from the cupboards and putting them in the dishwasher #seniormoment” #errordiary
  7. Real world error classification
  8. Causes use Norman’s Action CycleBut you can see that some errors could have multiple causesError classification in the real world isn’t straight forward!
  9. For those with high capacity, there’s no effect of load on error rate. They have the capacity to deal with the two concurrent tasks.For those with low capactiy, increased load results in large increase in error rate.
  10. No differences between the conditions
  11. Note the CUE is 0% in both conditions!!!
  12. When people resume quickly there is a 50:50 chance of doing the wrong thing!Slowing down increases the probability of being correct!