Operator responsibility for outcomes: A demonstration of the ResQu model

Nir Douer, Meirav Redlich, Joachim Meyer

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

In systems with advanced automation, human responsibility for outcomes becomes equivocal. We developed the Responsibility Quantification (ResQu) model to compute a measure of operator responsibility (Douer & Meyer, 2020) and compared it to observed and subjective levels of responsibility (Douer & Meyer, 2019). We used the model to calculate operators’ objective responsibility in a common fault event in the control room in a dairy factory. We compared the results to the subjective assessments made by different functions in the diary. The capabilities of the automation greatly exceeded those of the human, and the operator should comply with the indications of the automation. Thus, the objective causal human responsibility is 0. Outside observers, such as managers, assigned much higher responsibility to the operator, possibly holding operators responsible for adverse outcomes in situations in which they rightly trusted the automation.

Original languageEnglish
Pages (from-to)278-282
Number of pages5
JournalProceedings of the Human Factors and Ergonomics Society
Volume64
Issue number1
DOIs
StatePublished - 1 Jan 2020
Externally publishedYes
Event64th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2020 - Virtual, Online
Duration: 5 Oct 20209 Oct 2020

ASJC Scopus subject areas

  • Human Factors and Ergonomics

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