Ironic efficiency in automation-aided signal detection.

Decision makers often make poor use of the information provided by an automated signal detection aid; recent studies have found that participants assisted by an automated aid fell well short of best-possible sensitivity levels. The present study tested the generalisability of this finding over varyi...

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Publicado en:Ergonomics Vol. 64; no. 1; pp. 103 - 113
Autores principales: Bartlett, Megan L., McCarley, Jason S.
Formato: research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Jan2021
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jan2021
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      pub: Taylor & Francis Ltd
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        10.1080/00140139.2020.1809716
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        atl: Ironic efficiency in automation-aided signal detection.
      aug:
        au:
          Bartlett, Megan L.
          McCarley, Jason S.
        affil: College of Education, Psychology and Social Work, Flinders University, Adelaide, Australia
      sug:
        subj:
          Task Performance and Analysis
          Automation
          Signal Processing, Computer Assisted
          Sensitivity and Specificity
          Decision Support Techniques
          Human
          Cues
          Judgment
          Descriptive Statistics
      ab: Decision makers often make poor use of the information provided by an automated signal detection aid; recent studies have found that participants assisted by an automated aid fell well short of best-possible sensitivity levels. The present study tested the generalisability of this finding over varying levels of aid reliability. Participants performed a binary signal detection task either unaided or with assistance from a decision aid that was 60%, 85%, or 96%-reliable. Assistance from a highly reliable aid (85% or 96%) improved discrimination performance, while assistance from a low-reliability aid (60%) did not. Because their ideal strategy is to place less weight on less reliable cues, however, the decision makers' tendency to disuse the aid became more appropriate as the aid's reliability declined. Automation-aided efficiency was thus near to optimal when the aid was close to chance but became highly inefficient, ironically, as the aid's reliability increased. Practitioner Summary: Investigating operators' automation-aided information integration strategies allows human factors practitioners to predict the level of performance the operator will attain. Ironically, in an aided signal detection task, performance when assisted by a highly reliable aid is far less efficient than that obtained when assisted by a far less reliable aid. Abbreviations: OW: optimal weighting; UW: uniform weighting; CC: contingent criterion; BD: best decides; CF: coin flip; PM: probability matching; HDI: highest density interval; MCMC: markov chain monte carlo; HR: hit rate; FAR: false alarm rate
      pubtype: Academic Journal
      doctype:
        research
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      ougenre: Article
    language: English
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