Abstract
There have been tremendous advances in video-game graphics leading to realistic looking characters in many modern AAA titles. Unfortunately, the realistic looks do not always come with believable behavior of non-playable character AI. In particular, AI-driven video-game characters do not show plausible emotional reactions to interactions with the player unless they are hand-scripted for the particular encounter. We propose a light-weight algorithm for automatic generation of NPC emotional reactions at the level of actions and at the level of appearances. To do so adapt a recent resource-driven emotion model to generate NPC actions and extend it with a simple appraisal mechanism to explicitly compute emotional descriptors.
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Manavalan, Y.B., Bulitko, V. (2014). Appraisal of Emotions from Resources. In: Mitchell, A., Fernández-Vara, C., Thue, D. (eds) Interactive Storytelling. ICIDS 2014. Lecture Notes in Computer Science, vol 8832. Springer, Cham. https://doi.org/10.1007/978-3-319-12337-0_26
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DOI: https://doi.org/10.1007/978-3-319-12337-0_26
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12336-3
Online ISBN: 978-3-319-12337-0
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