Literature DB >> 10937315

The dynamics of trust: comparing humans to automation.

S Lewandowsky1, M Mundy, G P Tan.   

Abstract

Complex industrial environments involve cooperation between operators and automation. The strategies used to allocate tasks to automation are a crucial component of that cooperation and are known to be affected by the operators' trust in the automation. In 2 simulated process control experiments, the authors compared trust in automation with trust in human partners in equivalent situations. Experiment 1 found the relationship between trust and task allocation to be qualitatively identical, but quantitatively attenuated, for human partners as compared with automation. Experiment 2 additionally identified the operators' trustworthiness, as they thought it would be perceived by a human partner, as crucial to task allocation under human collaboration but not under automation. The results imply that human collaboration benefits from calibration of people's assessment of how others perceive them.

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Year:  2000        PMID: 10937315     DOI: 10.1037//1076-898x.6.2.104

Source DB:  PubMed          Journal:  J Exp Psychol Appl        ISSN: 1076-898X


  13 in total

1.  A Little Anthropomorphism Goes a Long Way.

Authors:  Ewart J de Visser; Samuel S Monfort; Kimberly Goodyear; Li Lu; Martin O'Hara; Mary R Lee; Raja Parasuraman; Frank Krueger
Journal:  Hum Factors       Date:  2017-02       Impact factor: 2.888

2.  Error discounting in probabilistic category learning.

Authors:  Stewart Craig; Stephan Lewandowsky; Daniel R Little
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2011-05       Impact factor: 3.051

3.  Validation of a trust in medical technology instrument.

Authors:  Enid Montague
Journal:  Appl Ergon       Date:  2010-02-26       Impact factor: 3.661

4.  Understanding active and passive users: the effects of an active user using normal, hard and unreliable technologies on user assessment of trust in technology and co-user.

Authors:  Enid Montague; Jie Xu
Journal:  Appl Ergon       Date:  2011-12-20       Impact factor: 3.661

5.  How different types of users develop trust in technology: a qualitative analysis of the antecedents of active and passive user trust in a shared technology.

Authors:  Jie Xu; Kim Le; Annika Deitermann; Enid Montague
Journal:  Appl Ergon       Date:  2014-05-29       Impact factor: 3.661

Review 6.  Performance Monitoring Applied to System Supervision.

Authors:  Bertille Somon; Aurélie Campagne; Arnaud Delorme; Bruno Berberian
Journal:  Front Hum Neurosci       Date:  2017-07-11       Impact factor: 3.169

7.  Feedback and Direction Sources Influence Navigation Decision Making on Experienced Routes.

Authors:  Yu Li; Weijia Li; Yingying Yang; Qi Wang
Journal:  Front Psychol       Date:  2019-09-13

8.  Scared to Trust? - Predicting Trust in Highly Automated Driving by Depressiveness, Negative Self-Evaluations and State Anxiety.

Authors:  Johannes Kraus; David Scholz; Eva-Maria Messner; Matthias Messner; Martin Baumann
Journal:  Front Psychol       Date:  2020-01-23

9.  Understanding Is Key: An Analysis of Factors Pertaining to Trust in a Real-World Automation System.

Authors:  Nora Balfe; Sarah Sharples; John R Wilson
Journal:  Hum Factors       Date:  2018-04-03       Impact factor: 2.888

10.  The effects of personality and locus of control on trust in humans versus artificial intelligence.

Authors:  Navya Nishith Sharan; Daniela Maria Romano
Journal:  Heliyon       Date:  2020-08-28
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