Abstract
This paper presents a Virtual-Suspect system designed for use in police interrogation training simulations. The system allows users to preconfigure various scenarios based on real cases, as well as different suspect histories and personality types. The responses given by the Virtual-Suspect during the interrogation are selected based on context and the suspect’s psychological state, which changes in response to each interrogator’s statement. Experiments with 24 subjects have shown that the Virtual-Suspect’s responses in an interrogation scenario are similar to those of a human respondent.
| Original language | English |
|---|---|
| Title of host publication | Intelligent Virtual Agents - 16th International Conference, IVA 2016, Proceedings |
| Editors | Peter Khooshabeh, David Traum, William Swartout, Stefan Scherer, Anton Leuski, Stefan Kopp |
| Publisher | Springer Verlag |
| Pages | 402-406 |
| Number of pages | 5 |
| ISBN (Print) | 9783319476643 |
| DOIs | |
| State | Published - 2016 |
| Event | 16th International Conference on Intelligent Virtual Agents, IVA 2016 - Los Angeles, United States Duration: 20 Sep 2016 → 23 Sep 2016 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 10011 LNAI |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 16th International Conference on Intelligent Virtual Agents, IVA 2016 |
|---|---|
| Country/Territory | United States |
| City | Los Angeles |
| Period | 20/09/16 → 23/09/16 |
Bibliographical note
Publisher Copyright:© Springer International Publishing AG 2016.
Funding
This work was supported in part by the LAW-TRAIN project that has received funding from the European Unions Horizon 2020 research and innovation program under grant agreement No. 653587.
| Funders | Funder number |
|---|---|
| Horizon 2020 Framework Programme | |
| Horizon 2020 | 653587 |
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