Keywords
agent-based deception interviewing, deception detection, human risk assessment, credibility assessment
Abstract
An Embodied Conversational Agent-based human deception detection system was tested in a laboratory experiment during which some subjects had committed a mock crime and had guilty knowledge of that crime. Sensor signals were analyzed for their ability to discriminate between guilty/deceptive and innocent/truthful examinees and suitability for conducting automated agent-based deception interviews. Electrodermal activity confirmed the presence of arousal during the agent-based interviews.
Original Publication Citation
"Embodied Conversational Agent-Based Deception Detection", Proceedings of SAI Intelligent Systems Conference, Pages 294--307, 2016
BYU ScholarsArchive Citation
Elkins, Aaron C.; Proudfoot, Jeffrey G.; Twyman, Nathan; Burgoon, Judee K.; and Nunamaker, Jay F. Jr., "Embodied Conversational Agent-Based Deception Detection" (2017). Faculty Publications. 9491.
https://scholarsarchive.byu.edu/facpub/9491
Document Type
Conference Paper
Publication Date
2017
Publisher
Proceedings of SAI Intelligent Systems Conference
Language
English
College
Marriott School of Business
Department
Information Systems Management
Copyright Status
© Springer International Publishing AG 2018
Copyright Use Information
http://lib.byu.edu/about/copyright/