Literature DB >> 19750792

Trust and reliance on an automated combat identification system.

Lu Wang1, Greg A Jamieson, Justin G Hollands.   

Abstract

OBJECTIVE: We examined the effects of aid reliability and reliability disclosure on human trust in and reliance on a combat identification (CID) aid. We tested whether trust acts as a mediating factor between belief in and reliance on a CID aid.
BACKGROUND: Individual CID systems have been developed to reduce friendly fire incidents. However, these systems cannot positively identify a target that does not have a working transponder. Therefore, when the feedback is "unknown", the target could be hostile, neutral, or friendly. Soldiers have difficulty relying on this type of imperfect automation appropriately.
METHOD: In manual and aided conditions, 24 participants completed a simulated CID task. The reliability of the aid varied within participants, half of whom were told the aid reliability level. We used the difference in response bias values across conditions to measure automation reliance.
RESULTS: Response bias varied more appropriately with the aid reliability level when it was disclosed than when not. Trust in aid feedback correlated with belief in aid reliability and reliance on aid feedback; however, belief was not correlated with reliance.
CONCLUSION: To engender appropriate reliance on CID systems, users should be made aware of system reliability. APPLICATION: The findings can be applied to the design of information displays for individual CID systems and soldier training.

Entities:  

Mesh:

Year:  2009        PMID: 19750792     DOI: 10.1177/0018720809338842

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


  4 in total

Review 1.  How transparency modulates trust in artificial intelligence.

Authors:  John Zerilli; Umang Bhatt; Adrian Weller
Journal:  Patterns (N Y)       Date:  2022-02-24

2.  Effects of reliability indicators on usage, acceptance and preference of predictive process management decision support systems.

Authors:  Peter Fröhlich; Manfred Tscheligi; Alexander G Mirnig; Damiano Falcioni; Johann Schrammel; Lisa Diamond; Isabel Fischer
Journal:  Qual User Exp       Date:  2022-09-05

3.  Automation Use and Dis-Use in Golf: The Impact of Distance Measuring Devices on Trust in Technology and Confidence in Determining Distance.

Authors:  Lori Dithurbide; Heather F Neyedli; Jamie Swinimer; Jamie MacFarlane
Journal:  Front Psychol       Date:  2021-07-02

Review 4.  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

  4 in total

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