Abstract
In this paper, we present a Virtual-Suspect system which can be used to train inexperienced law enforcement personnel in interrogation strategies. The system supports different scenario configurations based on historical data. The responses presented by the Virtual-Suspect are selected based on the psychological state of the suspect, which can be configured as well. Furthermore, each interrogator's statement affects the Virtual-Suspect's current psychological state, which may lead the interrogation in different directions. In addition, the model takes into account the context in which the statements are made. Experiments with 24 subjects demonstrate that the Virtual-Suspect's behavior is similar to that of a human who plays the role of the suspect.
| Original language | English |
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| Pages | 993-1000 |
| Number of pages | 8 |
| State | Published - 2017 |
| Event | 31st AAAI Conference on Artificial Intelligence, AAAI 2017 - San Francisco, United States Duration: 4 Feb 2017 → 10 Feb 2017 |
Conference
| Conference | 31st AAAI Conference on Artificial Intelligence, AAAI 2017 |
|---|---|
| Country/Territory | United States |
| City | San Francisco |
| Period | 4/02/17 → 10/02/17 |
Bibliographical note
Publisher Copyright:© Copyright 2017, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
Funding
∗This work was supported by the LAW-TRAIN project that has received funding from the European Union Horizon 2020 research and innovation program under grant agreement No 653587 and the ERC (grant No. 267523). Copyright ©c 2017, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
| Funders | Funder number |
|---|---|
| European Commission | 267523 |
| Horizon 2020 | 653587 |