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Mental Health, Trust, and Robots: Towards Understanding How Mental Health Mediates Human-Automated System Trust and Reliance

  • Jordan R. CrawfordEmail author
  • Ella-Mae Hubbard
  • Yee Mey Goh
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 953)

Abstract

This paper proposes a conceptual model derived through current ongoing research that incorporates the potential relationship that mental health may have on trust and reliance calibration in automated systems (AS). Understanding the variables involved in the human-AS interaction allows system designers to better achieve trust calibration and avoid AS misuse and disuse. However, most of the research area is saturated with understanding how external and internal (both to the human) short-term cognitive symptoms mediate this critical relationship. Therefore, the present paper extends human-AS trust literature with common mental disorders (CMDs) as outlined by the Adult Psychiatric Morbidity Survey (APMS) and incorporates them into existing models within the engineering and psychology subject areas to begin to understand what this relationship may look like. It is hoped that this paper will expand the scope of human factors (specifically human-AS trust) to include mental disorders.

Keywords

Mental health Common mental disorders Automated systems Trust Reliance 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Jordan R. Crawford
    • 1
    Email author
  • Ella-Mae Hubbard
    • 1
  • Yee Mey Goh
    • 1
  1. 1.Intelligent Automation, Loughborough UniversityLoughboroughUK

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