Computational models of emotion, personality, and social relationships for interactions in games

Chowanda, Andry and Blanchfield, Peter and 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.

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Abstract

We 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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published in AAMAS '16: Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems. Richland S.C. : International Foundation for Autonomous Agents and Multiagent Systems, c2016. ISBN 978145034239, pp. 1343-1344.
Keywords: computational models, game environment, social interactions, social relationships
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Depositing User: Chowanda, Andry
Date Deposited: 26 Oct 2016 13:50
Last Modified: 26 Oct 2016 20:56
URI: http://eprints.nottingham.ac.uk/id/eprint/37884

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