article · IEEE Transactions on Affective Computing · 2013

GAMYGDALA: An Emotion Engine for Games

Alexandru Popescu, Joost Broekens, Maarten van Someren

Cited by 71Abstract and details only

Abstract

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.

Cite this paper

APA 7

Popescu, A., Broekens, J., & van Someren, M. (2013). GAMYGDALA: An Emotion Engine for Games. IEEE Transactions on Affective Computing, 5(1), 32–44. https://doi.org/10.1109/t-affc.2013.24

MLA 9

Popescu, Alexandru, et al. “GAMYGDALA: An Emotion Engine for Games.” IEEE Transactions on Affective Computing, vol. 5, no. 1, 2013, pp. 32–44, https://doi.org/10.1109/t-affc.2013.24.

Chicago

Popescu, Alexandru, Joost Broekens, and Maarten van Someren. 2013. “GAMYGDALA: An Emotion Engine for Games.” IEEE Transactions on Affective Computing 5 (1): 32–44. https://doi.org/10.1109/t-affc.2013.24.

Harvard

Popescu, A., Broekens, J. and van Someren, M. (2013) ‘GAMYGDALA: An Emotion Engine for Games’, IEEE Transactions on Affective Computing, 5(1), pp. 32–44. Available at: https://doi.org/10.1109/t-affc.2013.24.

BibTeX

@article{popescu2013gamygdala,
  title = {{GAMYGDALA: An Emotion Engine for Games}},
  author = {Popescu, Alexandru and Broekens, Joost and van Someren, Maarten},
  journal = {IEEE Transactions on Affective Computing},
  volume = {5},
  number = {1},
  pages = {32--44},
  year = {2013},
  doi = {10.1109/t-affc.2013.24}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.