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GAMYGDALA: An Emotion Engine for Games

2013; Institute of Electrical and Electronics Engineers; Volume: 5; Issue: 1 Linguagem: Inglês

10.1109/t-affc.2013.24

2371-9850

Alexandru Popescu, Joost Broekens, Maarten van Someren,

Reinforcement Learning in Robotics

In this paper we present GAMYGDALA, an emotional appraisal engine that enables game developers to easily add emotions to their Non-Player Characters (NPC). Our approach proposes a solution that is positioned between event coding of affect, where individual events have predetermined annotated emotional consequences for NPCs, and a full blown cognitive appraisal model. Instead, for an NPC that needs emotions the game developer defines goals and annotates game events with a relation to these goals. Based on this input, GAMYGDALA produces an emotion for that NPC according to the well-known OCC model. In this paper we provide evidence for the following: GAMYGDALA provides black-box Game-AI independent emotion support, is efficient for large numbers of NPCs, and is psychologically grounded.