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Mental health, trust, and robots: towards understanding how mental health mediates human-automated system trust and reliance

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conference contribution
posted on 15.08.2019 by Jordan R Crawford, Ella-Mae Hubbard, Yee Goh
© Springer Nature Switzerland AG 2020. 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.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Advances in Neuroergonomics and Cognitive Engineering: Proceedings of the AHFE 2019 International Conference on Neuroergonomics and Cognitive Engineering, and the AHFE International Conference on Industrial Cognitive Ergonomics and Engineering Psychology

Pages

119 - 128

Publisher

Springer

Version

AO (Author's Original)

Rights holder

© Springer

Publisher statement

This is a pre-copyedited version of a contribution published in Advances in Neuroergonomics and Cognitive Engineering: Proceedings of the AHFE 2019 International Conference on Neuroergonomics and Cognitive Engineering, and the AHFE International Conference on Industrial Cognitive Ergonomics and Engineering Psychology edited by H. Ayaz published by Springer. The definitive authenticated version is available online via https://doi.org/10.1007/978-3-030-20473-0_13

Publication date

2019-06-12

Copyright date

2019

ISBN

9783030204723

ISSN

2194-5357

Book series

Advances in Intelligent Systems and Computing; vol 953

Language

en

Editor(s)

H. Ayaz

Location

Washington D.C.

Event dates

July 24-28, 2019

Depositor

Dr Ella-Mae Hubbard. Deposit date: 15 August 2019

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