Computational models of emotion, personality, and social relationships for interactions in gamesTools Chowanda, Andry, Blanchfield, Peter, Flintham, Martin and Valstar, Michel (2016) Computational models of emotion, personality, and social relationships for interactions in games. In: 2016 International Conference on Autonomous Agents and Multiagent Systems, 9-13 May 2016, Singapore. Full text not available from this repository.
Official URL: http://dl.acm.org/citation.cfm?id=2936924.2937151
AbstractWe present a novel computational model of emotion, personality and social relationships, implemented and evaluated in an existing commercial game (The Elder Scrolls V: Skyrim). We argue that Non Player Characters (NPCs) with such capabilities will accommodate a new experience in playing games and provide evidence supporting this. Applying the ERiSA Framework [1, 2] to the Skyrim Creation Kit, we designed a simple quest and 2 unique NPCs to interact with. When the ERiSA framework is used, players reported significant changes in their social relationship with the two NPCs compared to the baseline. Most importantly, the results further indicate that the models provide a new experience in playing games. In particular, players report enhanced emotional attachment to the NPCs and appear to forge relationships with the NPCs. Finally, the implemented models result in significant changes in the game engagement and the game immersion score.
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