Literature DB >> 10937311

Adaptive automation, trust, and self-confidence in fault management of time-critical tasks.

N Moray1, T Inagaki, M Itoh.   

Abstract

An experiment on adaptive automation is described. Reliability of automated fault diagnosis, mode of fault management (manual vs. automated), and fault dynamics affect variables including root mean square error, avoidance of accidents and false shutdowns, subjective trust in the system, and operator self-confidence. Results are discussed in relation to levels of automation, models of trust and self-confidence, and theories of human-machine function allocation. Trust in automation but not self-confidence was strongly affected by automation reliability. Operators controlled a continuous process with difficulty only while performing fault management but could prevent unnecessary shutdowns. Final authority for decisions and action must be allocated to automation in time-critical situations.

Entities:  

Mesh:

Year:  2000        PMID: 10937311     DOI: 10.1037//1076-898x.6.1.44

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


  8 in total

1.  Understanding reliance on automation: effects of error type, error distribution, age and experience.

Authors:  Julian Sanchez; Wendy A Rogers; Arthur D Fisk; Ericka Rovira
Journal:  Theor Issues Ergon Sci       Date:  2014-03

Review 2.  Automation bias: a systematic review of frequency, effect mediators, and mitigators.

Authors:  Kate Goddard; Abdul Roudsari; Jeremy C Wyatt
Journal:  J Am Med Inform Assoc       Date:  2011-06-16       Impact factor: 4.497

3.  Changes in motor performance and mental workload during practice of reaching movements: a team dynamics perspective.

Authors:  Isabelle M Shuggi; Patricia A Shewokis; Jeffrey W Herrmann; Rodolphe J Gentili
Journal:  Exp Brain Res       Date:  2017-12-06       Impact factor: 1.972

4.  Validation of a trust in medical technology instrument.

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

5.  Understanding human management of automation errors.

Authors:  Sara E McBride; Wendy A Rogers; Arthur D Fisk
Journal:  Theor Issues Ergon Sci       Date:  2014

Review 6.  From Trust in Automation to Decision Neuroscience: Applying Cognitive Neuroscience Methods to Understand and Improve Interaction Decisions Involved in Human Automation Interaction.

Authors:  Kim Drnec; Amar R Marathe; Jamie R Lukos; Jason S Metcalfe
Journal:  Front Hum Neurosci       Date:  2016-06-30       Impact factor: 3.169

7.  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

8.  Learning From the Slips of Others: Neural Correlates of Trust in Automated Agents.

Authors:  Ewart J de Visser; Paul J Beatty; Justin R Estepp; Spencer Kohn; Abdulaziz Abubshait; John R Fedota; Craig G McDonald
Journal:  Front Hum Neurosci       Date:  2018-08-10       Impact factor: 3.169

  8 in total

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