Embodied Conversational Agent-Based Deception Detection: Concealed Information Test using Automated Electrodermal, Vocal, and Oculmentric Measurements
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.
Recommended Citation
Elkins, A. C., Proudfoot, J. G., Twyman, N. W., Burgoon, J. K., & Nunamaker, J. F. (2018). Embodied Conversational Agent-Based Deception Detection: Concealed Information Test using Automated Electrodermal, Vocal, and Oculmentric Measurements. Lecture Notes in Networks and Systems, 16, pp. 294-307. Springer.
The definitive version is available at https://doi.org/10.1007/978-3-319-56991-8_22
Meeting Name
2016 SAI Intelligent Systems Conference, IntelliSys 2016 (2016: Sep. 21-22, London, UK)
Department(s)
Business and Information Technology
Keywords and Phrases
Agent-based deception interviewing; Credibility assessment; Deception detection; Human risk assessment
International Standard Book Number (ISBN)
978-3-319-56990-1
International Standard Serial Number (ISSN)
2367-3370; 2367-3389
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2018 Springer, All rights reserved.
Publication Date
01 Sep 2018
Comments
This research was supported by the U.S. Department of Homeland (DHS) Security and the Center for Identification Technology Research (CITeR), a National Science Foundation I/UCRC.