Abstract
This paper shows the results of a review about modeling, evaluating and increasing players’ satisfaction in computer games. The paper starts discussing the main stages of development of quantitative solutions, and then it tries to propose a taxonomy that represents the most common trends. In the first part of this paper we take as base some approaches that were already described in the literature for quantitatively capturing and increasing the real-time entertainment value in computer games. In a second part we analyze the stage in which the game’s environment is adapted in response to player needs, and the main trends on this theme are discussed.
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References
Machado, M.C., Fantini, E.P.C., Chaimowicz, L.: Player modeling: Towards a common taxonomy. In: 16th International Conference on Computer Games (CGAMES), pp. 50–57 (July 2011)
Official wiki of IEEE Task Force on Player Satisfaction Modeling (2011), http://gameai.itu.dk/psm
Fernández-Leiva, A.J., Barragán, J.L.O.: Decision Tree-Based Algorithms for Implementing Bot AI in UT2004. In: Ferrández, J.M., Álvarez Sánchez, J.R., de la Paz, F., Toledo, F.J. (eds.) IWINAC 2011, Part I. LNCS, vol. 6686, pp. 383–392. Springer, Heidelberg (2011)
Yannakakis, G.: How to model and augment player satisfaction: A review. In: Proceedings of the 1st Workshop on Child, Computer and Interaction, WOCCI 2008. ACM Press (2008)
Malone, T.: What makes things fun to learn? Heuristics for designing instructional computer games. In: Proceedings of the 3rd ACM SIGSMALL Symposium and the First SIGPC Symposium on Small Systems, vol. 162, pp. 162–169. ACM (1980)
Czikszentmihalyi, M.: Flow: The psychology of optimal experience. Harper & Row, New York (1990)
Sweetser, P., Wyeth, P.: Gameflow: a model for evaluating player enjoyment in games. Computers in Entertainment (3), 3 (2005)
Lazzaro, N.: Why we play games: Four keys to more emotion without story. Technical report, XEODesign, Inc. (2005)
Calleja, G.: Revising immersion: A conceptual model for the analysis of digital game involvement. In: Akira, B. (ed.) Situated Play: Proceedings of the 2007 Digital Games Research Association Conference, pp. 83–90. The University of Tokyo, Tokyo (2007)
Aarseth, E.: Playing research: Methodological approaches to game analysis. In: Digital Games Research Conference 2003. University of Utrecht, The Netherlands (November 2003)
Livingstone, D.: Turing’s test and believable ai in games. Computers in Entertainment 4(1) (2006)
Hagelbäck, J., Johansson, S.J.: A study on human like characteristics in real time strategy games. In: [29], pp. 139–145
Yannakakis, G., Togelius, J.: Tutorial on measuring and optimizing player satisfaction. In: IEEE Symposium on Computational Intelligence and Games, CIG 2008, pp. xiv –xvi. IEEE Press (2008)
Charles, D., Black, M.: Dynamic player modeling: A framework for player-centered digital games. In: Mehdi, Q., Gough, N., Natkin, S., Al-Dabass, D. (eds.) Proc. of 5th Game-on International Conference on Computer Games: Artificial Intelligence, Design and Education, CGAIDE 2004, pp. 29–35. University of Wolverhampton School of Computing (2004)
Cowley, B., Charles, D., Black, M., Hickey, R.: Using decision theory for player analysis in pacman. In: Proceedings of SAB 2006 Workshop on Adaptive Approaches for Optimizing Player Satisfaction in Computer and Physical Games, Rome, Italy, pp. 41–50 (2006)
Yannakakis, G.N., Togelius, J.: Experience-driven procedural content generation. T. Affective Computing 2(3), 147–161 (2011)
Martínez, H.P., Hullett, K., Yannakakis, G.N.: Extending neuro-evolutionary preference learning through player modeling. In: [29], 313–320
Nesbitt, K.V., Hoskens, I.: Multi-sensory game interface improves player satisfaction but not performance. In: Proceedings of the Ninth Conference on Australasian User Interface, AUIC 2008, pp. 13–18. Australian Computer Society, Inc., Darlinghurst (2008)
Yannakakis, G.N., Hallam, J.: Capturing player enjoyment in computer games. In: Baba, N., Jain, L.C., Handa, H. (eds.) Advanced Intelligent Paradigms in Computer Games. SCI, vol. 71, pp. 175–201. Springer, Heidelberg (2007)
Baba, N., Handa, H., Kusaka, M., Takeda, M., Yoshihara, Y., Kogawa, K.: Utilization of Evolutionary Algorithms for Making COMMONS GAME Much More Exciting. In: Setchi, R., Jordanov, I., Howlett, R.J., Jain, L.C. (eds.) KES 2010. LNCS, vol. 6278, pp. 555–561. Springer, Heidelberg (2010)
Coello, C.A.C.: Evolutionary multi-objective optimization: Current state and future challenges. In: Nedjah, N., de Macedo Mourelle, L., Abraham, A., Köppen, M. (eds.) 5th International Conference on Hybrid Intelligent Systems (HIS 2005), p. 5. IEEE Computer Society, Rio de Janeiro (2005)
Yannakakis, G.N., Hallam, J.: Real-time game adaptation for optimizing player satisfaction. IEEE Trans. Comput. Intellig. and AI in Games 1(2), 121–133 (2009)
Tognetti, S., Garbarino, M., Bonarini, A., Matteucci, M.: Modeling enjoyment preference from physiological responses in a car racing game. In: [29], 321–328
Togelius, J., Yannakakis, G.N., Stanley, K.O., Browne, C.: Search-based procedural content generation: A taxonomy and survey. IEEE Trans. Comput. Intellig. and AI in Games 3(3), 172–186 (2011)
Klimmt, C., Blake, C., Hefner, D., Vorderer, P., Roth, C.: Player Performance, Satisfaction, and Video Game Enjoyment. In: Natkin, S., Dupire, J. (eds.) ICEC 2009. LNCS, vol. 5709, pp. 1–12. Springer, Heidelberg (2009)
Yannakakis, G.N., Hallam, J.: Real-time adaptation of augmented-reality games for optimizing player satisfaction. In: Hingston, P., Barone, L. (eds.) 2008 IEEE Symposium on Computational Intelligence and Games (CIG 2008), pp. 103–110. IEEE, Perth (2008)
García, J.A., Cotta, C., Fernández-Leiva, A.J.: Design of Emergent and Adaptive Virtual Players in a War RTS Game. In: Ferrández, J.M., Álvarez Sánchez, J.R., de la Paz, F., Toledo, F.J. (eds.) IWINAC 2011, Part I. LNCS, vol. 6686, pp. 372–382. Springer, Heidelberg (2011)
Chen, J.: Flow in games (and everything else). Commun. ACM 50(4), 31–34 (2007)
Yannakakis, G.N., Togelius, J. (eds.): Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games, CIG 2010, Copenhagen, Denmark, August 18-21. IEEE (2010)
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Nogueira, M., Cotta, C., Fernández-Leiva, A.J. (2012). On Modeling, Evaluating and Increasing Players’ Satisfaction Quantitatively: Steps towards a Taxonomy. In: Di Chio, C., et al. Applications of Evolutionary Computation. EvoApplications 2012. Lecture Notes in Computer Science, vol 7248. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29178-4_25
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DOI: https://doi.org/10.1007/978-3-642-29178-4_25
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