Abstract
The ability to de-escalate confrontations with aggressive individuals is a useful skill, in particular within professions in public domains. Nevertheless, offering appropriate training that enables students to develop such skills is a nontrivial matter. As a complementary approach to real-world training, the STRESS project proposes a simulation-based environment for training of aggression de-escalation. The main focus of the current paper is to make this system adaptive to the performance of the trainee. To realize this, first a number of learning goals have been identified. Based on these, several levels of difficulty were established, as well as a mechanism to switch up and down between these levels based on the user’s score. A preliminary evaluation demonstrated that the system successfully adapts its difficulty level to the performance of the user, and that users are generally positive about the adaptation mechanism.
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Notes
- 1.
Nevertheless, the project as a whole also explores other interaction modalities, such as speech, facial expressions and gestures.
- 2.
Note that in some cases, answers that are unacceptable for one type of aggression may be exemplary for the other type. However, this is not necessarily always the case.
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Acknowledgments
This research was supported by funding from the National Initiative Brain and Cognition, coordinated by the Netherlands Organization for Scientific Research (NWO), under grant agreement No. 056-25-013.
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Bosse, T., Gerritsen, C., de Man, J., Tolmeijer, S. (2015). Adaptive Training for Aggression de-Escalation. In: Headleand, C., Teahan, W., Ap Cenydd, L. (eds) Artificial Life and Intelligent Agents. ALIA 2014. Communications in Computer and Information Science, vol 519. Springer, Cham. https://doi.org/10.1007/978-3-319-18084-7_7
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