@inproceedings{e30256f47e84450e88ecbdfc5e79adad,
title = "Deception detection in online automated job interviews",
abstract = "This research-in-progress paper presents a conceptual system for automated deception detection in online interviewing. The design proposes video recordings of responses to predefined, structured interview question sets variously selected based on the desired behavioral metric of interest, such as competence, social skills, or in this case, veracity. Raw behavioral data extracted from video responses is refined to produce indicators of behavioral metrics. A prototype implementation of the design was built and tested experimentally using a job interview scenario. Results of the experimental analysis provide evidence of the potential of the concept.",
keywords = "Automated interviewing, Behavioral assessment, Deception detection, Human risk assessment, Virtual agent-based interviewing",
author = "Twyman, {Nathan W.} and Pentland, {Steven J.} and Lee Spitzley",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 5th International Conference on HCI in Business, Government, and Organizations, HCIBGO 2018 Held as Part of HCI International 2018 ; Conference date: 15-07-2018 Through 20-07-2018",
year = "2018",
doi = "10.1007/978-3-319-91716-0_16",
language = "English",
isbn = "9783319917153",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "206--216",
editor = "Xiao, {Bo Sophia} and Nah, {Fiona Fui-Hoon}",
booktitle = "HCI in Business, Government, and Organizations - 5th International Conference, HCIBGO 2018, Held as Part of HCI International 2018, Proceedings",
address = "Germany",
}