Workload Capacity: A Response Time-Based Measure of Automation Dependence.

Objective: An experiment used the workload capacity measure C(t) to quantify the processing efficiency of human-automation teams and identify operators' automation usage strategies in a speeded decision task.Background: Although response accuracy rates and related measures are often used to measure...

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Publicado en:Human Factors Vol. 58; no. 3; pp. 462 - 472
Autores principales: Yamani, Yusuke, McCarley, Jason S.
Formato: equations & formulas research tables/charts Journal Article
Publicado: Sage Publications Inc. May2016
Acceso en línea:Ver este registro en EBSCOhost
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      dt: May2016
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      pub: Sage Publications Inc.
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        atl: Workload Capacity: A Response Time-Based Measure of Automation Dependence.
      aug:
        au:
          Yamani, Yusuke
          McCarley, Jason S.
        affil: Old Dominion University
      sug:
        subj:
          Workload Statistics and Numerical Data
          Automation
          Technology
          Young Adult
          Adolescence
          Female
          Male
          Adult
          Task Performance and Analysis
          Middle Age
          Time Factors
          Decision Making
          Human
          Adolescent: 13-18 years
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Female
          Male
      ab: Objective: An experiment used the workload capacity measure C(t) to quantify the processing efficiency of human-automation teams and identify operators' automation usage strategies in a speeded decision task.Background: Although response accuracy rates and related measures are often used to measure the influence of an automated decision aid on human performance, aids can also influence response speed. Mean response times (RTs), however, conflate the influence of the human operator and the automated aid on team performance and may mask changes in the operator's performance strategy under aided conditions. The present study used a measure of parallel processing efficiency, or workload capacity, derived from empirical RT distributions as a novel gauge of human-automation performance and automation dependence in a speeded task.Method: Participants performed a speeded probabilistic decision task with and without the assistance of an automated aid. RT distributions were used to calculate two variants of a workload capacity measure, COR(t) and CAND(t).Results: Capacity measures gave evidence that a diagnosis from the automated aid speeded human participants' responses, and that participants did not moderate their own decision times in anticipation of diagnoses from the aid.Conclusion and Application: Workload capacity provides a sensitive and informative measure of human-automation performance and operators' automation dependence in speeded tasks.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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