Abstract
This discussion paper presents ideas for designing a serious game for tutoring
police officers in training to conduct non-cooperative dialogue in police interviews. The system teaches social interactions. It simulates the social interactions of suspects in police interviews through a virtual suspect agent. These interactions can be non-cooperative as suspects are often not cooperating during the interview. The police officer in training has to interact with the suspect in a way that makes the suspects cooperative in order to gather information from them. In addition, the system must track the progress of the user regarding the training goals. We propose an architecture with a meta-agent that adjusts the suspect agent to present the user with challenging and meaningful interactions, while maintaining a consistent story and immersive game experience.
Original language | English |
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Title of host publication | Proceedings of the Social Believability in Games Workshop (SBG2013) |
Place of Publication | Enschede, The Netherlands |
Publisher | Centre for Telematics and Information Technology (CTIT) |
Number of pages | 14 |
Publication status | Published - Nov 2013 |
Event | Social Believability in Games Workshop, SBG 2013 - University of Twente, Enschede, Netherlands Duration: 12 Nov 2013 → 12 Nov 2013 |
Workshop
Workshop | Social Believability in Games Workshop, SBG 2013 |
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Country/Territory | Netherlands |
City | Enschede |
Period | 12/11/13 → 12/11/13 |
Keywords
- HMI-IA: Intelligent Agents
- Serious game
- Police interrogation
- Police interview
- Dialog manager
- Dialog system
- Conversational agent
- Planning