Literature DB >> 21992968

Cognitive conflict in human-automation interactions: a psychophysiological study.

Frédéric Dehais1, Mickaël Causse, François Vachon, Sébastien Tremblay.   

Abstract

The review of literature in sociology and distributed artificial intelligence reveals that the occurrence of conflict is a remarkable precursor to the disruption of multi-agent systems. The study of this concept could be applied to human factors concerns, as man-system conflict appears to provoke perseveration behavior and to degrade attentional abilities with a trend to excessive focus. Once entangled in such conflicts, the human operator will do anything to succeed in his current goal even if it jeopardizes the mission. In order to confirm these findings, an experimental setup, composed of a real unmanned ground vehicle, a ground station is developed. A scenario involving an authority conflict between the participants and the robot is proposed. Analysis of the effects of the conflict on the participants' cognition and arousal is assessed through heart-rate measurement (reflecting stress level) and eye-tracking techniques (index of attentional focus). Our results clearly show that the occurrence of the conflict leads to perseveration behavior and can induce higher heart rate as well as excessive attentional focus. These results are discussed in terms of task commitment issues and increased arousal. Moreover, our results suggest that individual differences may predict susceptibility to perseveration behavior.
Copyright © 2011 Elsevier Ltd and The Ergonomics Society. All rights reserved.

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Year:  2011        PMID: 21992968     DOI: 10.1016/j.apergo.2011.09.004

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  4 in total

1.  Modulation of executive attention by threat stimulus in test-anxious students.

Authors:  Huan Zhang; Renlai Zhou; Jilin Zou
Journal:  Front Psychol       Date:  2015-10-01

2.  Detecting Pilot's Engagement Using fNIRS Connectivity Features in an Automated vs. Manual Landing Scenario.

Authors:  Kevin J Verdière; Raphaëlle N Roy; Frédéric Dehais
Journal:  Front Hum Neurosci       Date:  2018-01-25       Impact factor: 3.169

Review 3.  A Neuroergonomics Approach to Mental Workload, Engagement and Human Performance.

Authors:  Frédéric Dehais; Alex Lafont; Raphaëlle Roy; Stephen Fairclough
Journal:  Front Neurosci       Date:  2020-04-07       Impact factor: 4.677

4.  Towards Mixed-Initiative Human-Robot Interaction: Assessment of Discriminative Physiological and Behavioral Features for Performance Prediction.

Authors:  Caroline P C Chanel; Raphaëlle N Roy; Frédéric Dehais; Nicolas Drougard
Journal:  Sensors (Basel)       Date:  2020-01-05       Impact factor: 3.576

  4 in total

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