ā˜°

Ewart J. de Visser, Ph.D.

Affiliations: 
Psychology, Human Factors/Applied Cognition Concentration George Mason University, Washington, DC 
Area:
cognitive neuroscience,attention,human factors,neuroergonomics
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"Ewart de Visser"

Parents

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Raja Parasuraman grad student 2012 George Mason
 (The world is not enough: Trust in cognitive agents.)
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Publications

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de Visser EJ, Pak R, Shaw TH. (2018) From "automation" to "autonomy": The importance of trust repair in human-machine interaction. Ergonomics. 1-33
Goodyear K, Parasuraman R, Chernyak S, et al. (2016) An fMRI and effective connectivity study investigating miss errors during advice utilization from human and machine agents. Social Neuroscience. 1-12
de Visser EJ, Dorfman A, Chartrand D, et al. (2016) Building resilience with the stress resilience training system: Design validation andĀ applications. Work (Reading, Mass.)
De Visser EJ, Freedy E, Payne JJ, et al. (2015) AREA: A Mobile Application for Rapid Epidemiology Assessment Procedia Engineering. 107: 357-365
McKendrick R, Shaw T, de Visser E, et al. (2014) Team performance in networked supervisory control of unmanned air vehicles: effects of automation, working memory, and communication content. Human Factors. 56: 463-75
Ahmed N, de Visser E, Shaw T, et al. (2014) Statistical modelling of networked human-automation performance using working memory capacity. Ergonomics. 57: 295-318
Parasuraman R, De Visser E, Wiese E, et al. (2014) Human trust in other humans, automation, robots, and cognitive agents: Neural correlates and design implications Proceedings of the Human Factors and Ergonomics Society. 2014: 340-344
Muralidharan L, De Visser E, Parasuraman R. (2014) The effects of pitch contour and flanging on trust in speaking cognitive agents Conference On Human Factors in Computing Systems - Proceedings. 2167-2172
De Visser EJ, Cohen M, Freedy A, et al. (2014) A design methodology for trust cue calibration in cognitive agents Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8525: 251-262
Ahmed N, De Visser E, Shaw T, et al. (2014) A look at probabilistic Gaussian Process, Bayes Net, and Classifier models for prediction and verification of human supervisory performance Aaai Spring Symposium - Technical Report. 2-8
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