Experiencing Affective Agents in Simulation Games

Autores

  • Rainier Sales Universidade Federal Fluminense.
  • Esteban Clua Universidade Federal Fluminense.
  • Aline Paes Universidade Federal Fluminense.
  • Daniel de Oliveira Universidade Federal Fluminense.

DOI:

https://doi.org/10.13037/ria.vol9n1.2745

Palavras-chave:

Affective Agents, Digital Games, Artificial Intelligence, Agents Architecture, NPC, Provenance Data

Resumo

Usually, characters of games based on the real world are simplified stereotypes of the human they represent, as suchgames disregard psychological aspects of the human mind. However, emotive elements based on humans may beessential to achieve a proper fun factor to the game player. Moreover, by applying emotional aspects related to humanbeings, we are able to insert aspects of the reality from a human point of view, which is going to yield an expected behaviorof the characters similar to those made outside the game. Thus, in this article we developed an architecture to modifythe behavior of non-player character (NPC), making them an affective agent. Personality traits, mood and emotionmodels based on well-established theories of psy-chology are associated to the NPC so that the behavior and generalway of thinking of humans are simulated.

Downloads

Biografia do Autor

Rainier Sales, Universidade Federal Fluminense.

Universidade Federal Fluminense

Esteban Clua, Universidade Federal Fluminense.

Universidade Federal Fluminense.

Aline Paes, Universidade Federal Fluminense.

Universidade Federal Fluminense.

Daniel de Oliveira, Universidade Federal Fluminense.

Universidade Federal Fluminense.

Referências

[1] Guojiang, W. and Xiaoxiao; F., Behavior decision model of intelligent agent based on artificial emotion, Advanced Computer Control (ICACC), 2nd International Conference on, vol.4, pp.185,189, 27-29 (2010).

[2] Freire, J., Koop, D., Santos, E., and Silva, C. T. “Provenance for computational tasks: A survey,” Computing in Science & Engineering, vol. 10, no. 3, pp. 11–21, 2008.

[3] Missier, P. Belhajjame, K. and Cheney, J. “The W3C PROV family of specifications for modelling provenance metadata,” in Proceedings of the 16th International Conference on Extending Database Technology, 2013, pp. 773–776.

[4] Sales, R., Clua, E., Oliveira, D., Paes, A. An Artificial Emotional Agent-Based Architecture for Games Simulation. J.C. Anacleto et al. (Eds.): ICEC 2013, LNCS 8215, pp. 156–159, 2013.

[5] Sales, R., Clua, E., Oliveira, D., Paes, A. An Experimental Analysis of Non-player Character as Affective Agents. (Eds.): SBGAMES 2013 (in press).

[6] Picard, Rosalind, Affective Computing. MIT Press, Boston. (1997).

[7] Laird, J. E. (2008). Extending the Soar cognitive architecture. Proceedings of the Artificial General Intelligence Conference. Memphis, TN: IOS Press.

[8] Kshirsagar, S. and Thalmann, N. A Multilayer Personality Model. 2nd international symposium on Smart graphics, pp 107-115 (2002).

[9] Gebhard, P.. Alma: a layered model of affect. Proceedings of the Fourth International Joint Conference On autonomous Agents and Multi-agent Systems, Utrecht. (2005).

[10] Kasap, Z., Ben Moussa, M., Chaudhuri, P. and Magnenat-Thalmann, N. Making Them Remember—Emotional Virtual Characters with Memory. Computer Graphics and Applications, IEEE (Volume:29, Issue: 2), pp 20-29 (2009).

[11] Djordjevich, D.D., Xavier, P.G., Bernard, M.L., Whetzel, J.H., Glickman, M.R. and Verzi, S.J. Preparing for the aftermath: Using emotional agents in game-based training for disaster response. Computational Intelligence and Games. CIG ‘08. IEEE Symposium, pp 266-275 (2009).

[12] Khaled, R., and Ingram, G. “Tales from the front lines of a large-scale serious game project,” in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2012, pp. 69–78.

[13] Kohwalter, T. C. Clua, E. W. and Murta, L. G. “Provenance in Games.” In: XI SBGames, p. 162–171, Brasília, DF, Brazil.

[14] White, W. Koch, C. Gehrke, J. and Demers, A. “Better scripts, better games,” Communications of the ACM, vol. 52, no. 3, pp. 42–47, 2009.

[15] Mateas, M. and Stern, A. “A behavior language for story-based believable agents,” Intelligent Systems, IEEE, vol. 17, no. 4, pp. 39–47, 2002.

[16] Adams, E., Dormans, J. Game Mechanics: Advanced Game Design. Berkeley, Calif.: New Riders, 2012.

[17] Marsella, S., J. Gratch, and P. Petta. “A blueprint for an affectively competent agent: Cross-fertilization between Emotion Psychology, Affective Neuroscience, and Affective Computing.” (2010).

[18] Michael, S. and Todd F., Psychological Science: Mind, Brain and Behavior. Artmed, Porto Alegre. (2005).

[19] McCrae and Costa, Handbook of personality: Theory and research. A five-factor theory of personality. Guilford, New York. (1999).

[20] Damásio, A. R., Descartes’ Error. Companhia das Letras, São Paulo. (1996).

[21] Strongman, K. T., The Psychology of Emotion. John Wiley and Sons, Chichester. (2003).

[22] Kasap, Z. Thalmann, N. Intelligent virtual humans with autonomy and personality: State-of-the-art. Journal Of Intelligent Decision Technologies, 3-15 (2007).

[23] Ortony et al., Andrew, Gerald L. Clore and Allan Collins. The Cognitive Structure of Emotion. Cambridge University Press, Cambridge. (1988).

[24] Vinayagamoorthy et al., Vinoba, Marco Gillies, A. Steed, E. Tanguy, X. Pan, C. Loscos, e M. Slater. Building expressions into virtual characters. Eurographics Conference State of the Art Reports, Vienna. (2006).

[25] Mehrabian, A., Pleasure-arousal-dominance: A general framework for describing and measuring individual differences in temperament. Current Psychology, New York. (1995).

[26] Mehrabian, A., A general powerful system for assessing temperament to personality. http://www.kaaj.com.

[27] Sandri, S. and Correa, C. “Lógica nebulosa,” Escola de redes neurais: Conselho Nacional de Redes Neurais, vol. 5, pp. 73–90, 1999.

[28] Leite, F. N. H. F., Impact of emotional experiences in customer satisfaction: A study in medical offices. Universidade Federal de Fortaleza, Fortaleza - CE. (2006).

[29] Sandri, S. and Correa, C., Claudio and Sandra, fuzzy logic. INPE, São Paulo. (1999).

[30] Buneman P., Khanna, S. and Wang-Chiew, T. “Why and where: A characterization of data provenance,” in Database Theory—ICDT 2001, Springer, 2001, pp. 316–330.

[31] Costa, P., and R. McCrae. “NEO PI-R, Inventário de Personalidade NEO Revisto.” Florida: Psychological Assessment Resources–Adaptação Portuguesa de Margarida Pedroso de Lima e António Simões (2000). Lisboa: Cegoc.

Downloads

Publicado

2014-05-13

Como Citar

Sales, R., Clua, E., Paes, A., & Oliveira, D. de. (2014). Experiencing Affective Agents in Simulation Games. Revista De Informática Aplicada, 9(1). https://doi.org/10.13037/ria.vol9n1.2745

Edição

v. 9 n. 1 (2013)

Seção

Artigos Originais

Licença

Copyright (c) 2014 Rainier Sales, Esteban Clua, Aline Paes, Daniel de Oliveira

Creative Commons License

Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Os autores que publicam trabalhos na RIA estão de acordo com os seguintes termos:

  1. Autores mantêm seus direitos autorais e concedem à RIA o direito à primeira publicação. Admite-se o compartilhamento do referido trabalho, desde que seja reconhecida sua autoria e publicação inicial nesta revista.
  2. Autores podem fechar contratos adicionais separadamente, para distribuição não exclusiva da versão do trabalho publicado na RIA, com reconhecimento de sua autoria e publicação inicial nesta revista.
  3. Autores podem publicar e distribuir seu trabalho online, antes ou durante o processo editorial.