@inbook{e1c14d1581de4af9a2b78b7cfc107802,
title = "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.",
keywords = "Agent-based deception interviewing, Credibility assessment, Deception detection, Human risk assessment",
author = "Elkins, {Aaron C.} and Proudfoot, {Jeffrey G.} and Nathan Twyman and Burgoon, {Judee K.} and Nunamaker, {Jay F.}",
note = "Funding Information: 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. Publisher Copyright: {\textcopyright} Springer International Publishing AG 2018.",
year = "2018",
doi = "10.1007/978-3-319-56991-8_22",
language = "English (US)",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer",
pages = "294--307",
booktitle = "Lecture Notes in Networks and Systems",
}