|
| This Article | ||
| ||
| Share | ||
| Bibliographic References | ||
| Add to: | ||
 Digg  Furl  Spurl  Blink  Simpy  Google  Del.icio.us  Y!MyWeb | ||
| Search | ||
| ||
| ASCII Text | x | ||
| G. N. Yannakakis, J. Togelius, "Experience-Driven Procedural Content Generation," IEEE Transactions on Affective Computing, vol. 2, no. 3, pp. 147-161, July-September, 2011. | |||
| BibTex | x | ||
| @article{ 10.1109/T-AFFC.2011.6, author = {G. N. Yannakakis and J. Togelius}, title = {Experience-Driven Procedural Content Generation}, journal ={IEEE Transactions on Affective Computing}, volume = {2}, number = {3}, issn = {1949-3045}, year = {2011}, pages = {147-161}, doi = {http://doi.ieeecomputersociety.org/10.1109/T-AFFC.2011.6}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - JOUR JO - IEEE Transactions on Affective Computing TI - Experience-Driven Procedural Content Generation IS - 3 SN - 1949-3045 SP147 EP161 EPD - 147-161 A1 - G. N. Yannakakis, A1 - J. Togelius, PY - 2011 KW - user centred design KW - cognition KW - computer games KW - content management KW - human computer interaction KW - personal computing KW - experience-driven procedural content generation KW - human-computer interaction design KW - personalization KW - user experience KW - cognitive modeling KW - games KW - Web 2.0 KW - interface KW - software design KW - Games KW - Computational modeling KW - Human computer interaction KW - Data models KW - Adaptation model KW - Content distribution networks KW - User interfaces KW - Behavioral science KW - computer games. KW - Procedural content generation KW - user affect KW - user experience KW - personalization KW - adaptation VL - 2 JA - IEEE Transactions on Affective Computing ER - | |||
[1] J. Juul, A Casual Revolution: Reinventing Video Games and Their Players. MIT Press, 2009.
[2] T. Taylor, Play Between Worlds: Exploring Online Game Culture. MIT Press, Mar. 2006.
[3] C. Bateman and R. Boon, 21st Century Game Design. Charles River Media, 2005.
[4] E. Hudlicka, “Affective Game Engines: Motivation and Requirements,” Proc. Fourth Int'l Conf. Foundations of Digital Games, pp. 299-306, 2009.
[5] R.W. Picard, Affective Computing. MIT Press, 1997.
[6] I. Leite, A. Pereira, S. Mascarenhas, G. Castellano, C. Martinho, R. Prada, and A. Paiva, “Closing the Loop: from Affect Recognition to Empathic Interaction,” Proc. Third Int'l Workshop Affect Interaction in Natural Environments, ACM Multimedia '10. 2010.
[7] P. Sundström, A. Ståhl, and K. Höök, “In Situ Informants Exploring an Emotional Mobile Messaging System in Their Everyday Practice,” Int'l J. Human-Computer Studies, vol. 65, pp. 388-403, Apr. 2007.
[8] P. Sundström, “Exploring the Affective Loop,” technical report, Stockholm Univ., 2005.
[9] R.W. Picard, E. Vyzas, and J. Healey, “Toward Machine Emotional Intelligence: Analysis of Affective Physiological State,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 23, no. 10, pp. 1175-1191, Oct. 2001.
[10] K.L. Walton, Mimesis as Make-Believe. Harvard Univ. Press, 1990.
[11] C. Bateman and L.E. Nacke, “The Neurobiology of Play,” Proc. Future Play '10, pp. 1-8, 2010.
[12] R.A. Calvo and S.D. Mello, “Affect Detection: An Interdisciplinary Reveiw of Models, Methods and Their Applications,” IEEE Trans. Affective Computing, vol. 1, no. 1, pp. 18-37, Jan.-June 2010.
[13] P. Rani, C. Liu, N. Sarkar, and E. Vanman, “An Empirical Study of Machine Learning Techniques for Affect Recognition in Humanrobot Interaction,” Pattern Analysis and Applications, vol. 9, no. 1, pp. 58-69, 2006.
[14] P. Rani, N. Sarkar, and C. Liu, “Maintaining Optimal Challenge in Computer Games through Real-Time Physiological Feedback,” Proc. 11th Int'l Conf. Human Computer Interaction, 2005.
[15] G. Chanel, C. Rebetez, M. Betrancourt, and T. Pun, “Boredom, Engagement and Anxiety as Indicators for Adaptation to Difficulty in Games,” Proc. 12th Int'l Conf. Entertainment and Media in the Ubiquitous Era, pp. 13-17, 2008.
[16] J. Kim and E. Andre, “Emotion Recognition Using Physiological and Speech Signal in Short-Term Observation,” Proc. Int'l Tutorial and Research Workshop Perception and Interactive Technologies, pp. 53-64, 2006.
[17] R. Mandryk and K. Inkpen, “Physiological Indicators for the Evaluation of Co-Located Collaborative Play,” Proc. ACM Conf. Computer Supported Cooperative Work, pp. 102-111, 2004.
[18] S. Tognetti, M. Garbarino, A. Bonarini, and M. Matteucci, “Modeling Enjoyment Preference from Physiological Responses in a Car Racing Game,” Proc. IEEE Conf. Computational Intelligence and Games, pp. 321-328, Aug. 2010.
[19] G.N. Yannakakis, J. Hallam, and H.H. Lund, “Entertainment Capture through Heart Rate Activity in Physical Interactive Playgrounds,” User Modeling and User-Adapted Interaction, special issue: affective mModeling and adaptation, vol. 18, nos. 1/2, pp. 207-243, Feb. 2008.
[20] G.N. Yannakakis, H.P. Martínez, and A. Jhala, “Towards Affective Camera Control in Games,” User Modeling and User-Adapted Interaction, vol. 20, no. 4, pp. 313-340, 2010.
[21] A. Drachen, L. Nacke, G.N. Yannakakis, and A.L. Pedersen, “Correlation between Heart Rate, Electrodermal Activity and Player Experience in First-Person Shooter Games,” Proc. ACM SIGGRAPH '10, 2010.
[22] S. McQuiggan, S. Lee, and J. Lester, “Predicting User Physiological Response for Interactive Environments: An Inductive Approach,” Proc. Second Artificial Intelligence for Interactive Digital Entertainment Conf., pp. 60-65, 2006.
[23] R. Aylett, J. Dias, and A. Paiva, “An Affectively Driven Planner for Synthetic Characters,” Proc. Int'l Conf. Automated Planning and Scheduling, 2006.
[24] P.F. Camara, Creativity and Artificial Intelligence: A Conceptual Blending Approach; Applications of Cognitive Linguistics. Mouton de Gruyter, 2006.
[25] K. Stanley, B. Bryant, and R. Miikkulainen, “Real-Time Evolution in the NERO Video Game,” Proc. IEEE Symp. Computational Intelligence and Games, pp. 182-189, Apr. 2005.
[26] D. Djordjevich, P. Xavier, M. Bernard, J. Whetzel, M. Glickman, and S. Verzi, “Preparing for the Aftermath: Using Emotional Agents in Game-Based Training for Disaster Response,” Proc. IEEE Symp. Computational Intelligence and Games, pp. 266-275, Apr. 2008.
[27] J. Togelius, G.N. Yannakakis, K.O. Stanley, and C. Browne, “Search-Based Procedural Content Generation,” Proc. European Conf. Applications of Evolutionary Computation, 2010.
[28] C. Pedersen, J. Togelius, and G.N. Yannakakis, “Modeling Player Experience for Content Creation,” IEEE Trans. Computational Intelligence and AI in Games, vol. 2, no. 1, pp. 54-67, Sept. 2010.
[29] N. Shaker, G.N. Yannakakis, and J. Togelius, “Towards Automatic Personalized Content Generation for Platform Games,” Proc. Artificial Intelligence and Interactive Digital Entertainment, pp. 63-68, Oct. 2010.
[30] J. Gratch and S. Marsella, “Evaluating a Computational Model of Emotion,” Autonomous Agents and Multi-Agent Systems, vol. 11, no. 1, pp. 23-43, 2005.
[31] C. Conati, “Probabilistic Assessment of User's Emotions in Educational Games,” J. Applied Artificial Intelligence, special issue on merging vognition and affect in HCI, vol. 16, pp. 555-575, 2002.
[32] R.L. Mandryk, K.M. Inkpen, and T.W. Calvert, “Using Psychophysiological Techniques to Measure User Experience with Entertainment Technologies,” Behaviour and Information Technology, special issue on user experience, vol. 25, no. 2, pp. 141-158, 2006.
[33] R.J. Pagulayan, K. Keeker, D. Wixon, R.L. Romero, and T. Fuller, User-Centered Design in Games: The HCI Handbook. Lawrence Erlbaum Assoc., 2003.
[34] G.N. Yannakakis and J. Hallam, “Towards Optimizing Entertainment in Computer Games,” Applied Artificial Intelligence, vol. 21, pp. 933-971, 2007.
[35] G.N. Yannakakis, “Preference Learning for Affective Modeling,” Proc. Int'l Conf. Affective Computing and Intelligent Interaction, pp. 126-131, Sept. 2009.
[36] G.N. Yannakakis and J. Hallam, “Towards Capturing and Enhancing Entertainment in Computer Games,” Proc. Fourth Hellenic Conf. Artificial Intelligence, pp. 432-442, May 2006.
[37] G.N. Yannakakis and J. Hallam, “Real-Time Game Adaptation for Optimizing Player Satisfaction,” IEEE Trans. Computational Intelligence and AI in Games, vol. 1, no. 2, pp. 121-133, June 2009.
[38] C. Pedersen, J. Togelius, and G.N. Yannakakis, “Modeling Player Experience in Super Mario Bros,” Proc. IEEE Symp. Computational Intelligence and Games. pp. 132-139, Sept. 2009.
[39] A. Nijholt, “BCI for Games: A State of the Art Survey,” Proc. Entertainment Computing, pp. 225-228, 2009.
[40] T. Partala and V. Surakka, “Pupil Size Variation as an Indication of Affective Processing,” Int'l J. Human-Computer Studies, vol. 59, nos. 1/2, pp. 185-198, 2003.
[41] A. Barreto, J. Zhai, and M. Adjouadi, “Non-Intrusive Physiological Monitoring for Automated Stress Detection in Human-Computer Interaction,” Proc. Human Computer Interaction, pp. 29-39, 2007.
[42] S. Asteriadis, K. Karpouzis, and S.D. Kollias, “A Neuro-Fuzzy Approach to User Attention Recognition,” Proc. Int'l Conf. Artificial Neural Networks, pp. 927-936, 2008.
[43] M. Pantic and G. Caridakis, “Image and Video Processing for Affective Applications” Emotion-Oriented Systems: The Humaine Handbook, pp. 101-117, Springer-Verlag, 2011.
[44] L. Kessous, G. Castellano, and G. Caridakis, “Multimodal Emotion Recognition in Speech-Based Interaction Using Facial Expression, Body Gesture and Acoustic Analysis,” J. Multimodal User Interfaces, vol. 3, pp. 33-48, 2010.
[45] T. Kannetis, A. Potamianos, and G.N. Yannakakis, “Fantasy, Curiosity and Challenge as Adaptation Indicators in Multimodal Dialogue Systems for Preschoolers,” Proc. Workshop Child, Computer and Interaction, ICMI '09, Nov. 2009.
[46] Z. Zeng, M. Pantic, G. Roisman, and T. Huang, “A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 31, no. 1, pp. 39-58, Jan. 2009.
[47] N. Frijda, The Emotions. Cambridge Univ. Press, 1986.
[48] L. Feldman, “Valence Focus and Arousal Focus: Individual Differences in the Structure of Affective Experience,” J. Personality and Social Psychology, vol. 69, pp. 53-166, 1995.
[49] J.A. Russell, “Core Affect and the Psychological Construction of Emotion,” Psychological Rev., vol. 110, pp. 145-172, 2003.
[50] S. Asteriadis, D. Soufleros, and K. Karpouzis, “A Natural Head Pose and Eye Gaze Dataset,” Proc. Int'l Conf. Multimodal Interfaces, 2009.
[51] R.L. Mandryk and M.S. Atkins, “A Fuzzy Physiological Approach for Continuously Modeling Emotion during Interaction with Play Environments,” Int'l J. Human-Computer Studies, vol. 65, pp. 329-347, 2007.
[52] H.P. Martinez, A. Jhala, and G.N. Yannakakis, “Analyzing the Impact of Camera Viewpoint on Player Psychophysiology,” Proc. Int'l Conf. Affective Computing and Intelligent Interaction. pp. 394-399, Sept. 2009.
[53] K. Isbister and N. Schaffer, Game Usability: Advancing the Player Experience. Morgan Kaufman, 2008.
[54] A. Ortony, G.L. Clore, and A. Collins, The Cognitive Structure of Emotions. Cambridge Univ. Press, 1988.
[55] B.F. Skinner, The Behavior of Organisms: An Experimental Analysis. B.F. Skinner Foundation, 1938.
[56] K.R. Scherer, “Studying the Emotion-Antecedent Appraisal Process: An Expert System Approach,” Cognition and Emotion, vol. 7, pp. 325-355, 1993.
[57] T.W. Malone, “What Makes Things Fun to Learn? Heuristics for Designing Instructional Computer Games,” Proc. Third ACM SIGSMALL Symp. and the First SIGPC Symp. Small Systems, pp. 162-169, 1980.
[58] R. Koster, A Theory of Fun for Game Design. Paraglyph Press, 2005.
[59] M. Csikszentmihalyi, Flow: The Psychology of Optimal Experience. Harper Collins, 1990.
[60] E. Hastings, R. Guha, and K.O. Stanley, “Evolving Content in the Galactic Arms Race Video Game,” Proc. IEEE Symp. Computational Intelligence and Games, pp. 241-248, 2009.
[61] H. Iida, N. Takeshita, and J. Yoshimura, “A Metric for Entertainment of Boardgames: Its Implication for Evolution of Chess Variants,” Proc. Int'l Wireless Comm. Expo, pp. 65-72, 2003.
[62] J.K. Olesen, G.N. Yannakakis, and J. Hallam, “Real-Time Challenge Balance in an RTS Game Using rtNEAT,” Proc. IEEE Symp. Computational Intelligence and Games, pp. 87-94, Dec. 2008.
[63] G. van Lankveld, P. Spronck, and M. Rauterberg, “Difficulty Scaling through Incongruity,” Proc. Fourth Int'l Artificial Intelligence and Interactive Digital Entertainment Conf., pp. 228-229, 2008.
[64] P. Spronck, I. Sprinkhuizen-Kuyper, and E. Postma, “Difficulty Scaling of Game AI,” Proc. Fifth Int'l Conf. Intelligent Games and Simulation, pp. 33-37, 2004.
[65] G. Andrade, G. Ramalho, H. Santana, and V. Corruble, “Extending Reinforcement Learning to Provide Dynamic Game Balancing,” Proc. Workshop Reasoning, Representation, and Learning in Computer Games, 19th Int'l Joint Conf. Artificial Intelligence, pp. 7-12, Aug. 2005.
[66] N. Sorenson and P. Pasquier, “Towards a Generic Framework for Automated Video Game Level Creation,” Proc. European Conf. Applications of Evolutionary Computation, pp. 130-139, 2010.
[67] R. Houlette, “Player Modeling for Adaptive Games,” AI Game Programming Wisdom II, pp. 557-566. Charles River Media Inc, 2004.
[68] D. Charles and M. Black, “Dynamic Player Modelling: A Framework for Player-Centric Digital Games,” Proc. Int'l Conf. Computer Games: Artificial Intelligence, Design, and Education, pp. 29-35, 2004.
[69] G.N. Yannakakis and M. Maragoudakis, “Player Modeling Impact on Player's Entertainment in Computer Games,” Proc. 10th Int'l Conf. User Modeling, pp. 74-78, July 2005.
[70] C. Thurau, C. Bauckhage, and G. Sagerer, “Learning Human-Like Movement Behavior for Computer Games,” From Animals to Animats 8: Proc. 8th Int'l Conf. Simulation of Adaptive Behavior, pp. 315-323, July 2004.
[71] D. Thue, V. Bulitko, M. Spetch, and E. Wasylishen, “Interactive Storytelling: A Player Modelling Approach,” Proc. Third Conf. Artificial Intelligence and Interactive Digital Entertainment, pp. 43-48, 2007.
[72] R. Thawonmas, M. Kurashige, K. Iizuka, and M. Kantardzic, “Clustering of Online Game Users Based on Their Trails Using Self-Organizing Map,” Proc. Entertainment Computing, pp. 366-369, 2006.
[73] A. Drachen, A. Canossa, and G.N. Yannakakis, “Player Modeling Using Self-Organization in Tomb Raider: Underworld,” Proc. IEEE Symp. Computational Intelligence and Games, pp. 1-8, Sept. 2009.
[74] O. Missura and T. Gärtner, “Player Modeling for Intelligent Difficulty Adjustment,” Proc. ECML-09 Workshop from Local Patterns to Global Models, Sept. 2009.
[75] B. Weber and M. Mateas, “A Data Mining Approach to Strategy Prediction,” Proc. IEEE Symp. Computational Intelligence in Games, pp. 140-147, Sept. 2009.
[76] S.H. Fairclough, “Fundamentals of Physiological Computing,” Interacting with Computers, vol. 21, nos. 1/2, pp. 133-145, 2009.
[77] N. Ravaja, T. Saari, M. Turpeinen, J. Laarni, M. Salminen, and M. Kivikangas, “Spatial Presence and Emotions during Video Game Playing: Does It Matter with Whom You Play?” Presence Teleoperators and Virtual Environments, vol. 15, no. 4, pp. 381-392, 2006.
[78] M. Schwartz, H.P. Martinez, G.N. Yannakakis, and A. Jhala, “Investigating the Interplay between Camera Viewpoints, Game Information, and Challenge,” Proc. Artificial Intelligence and Interactive Digital Entertainment, Oct. 2009.
[79] A. Drachen and A. Canossa, “Towards Gameplay Analysis via Gameplay Metrics,” Proc. 13th MindTrek, Sept. 2009.
[80] J. Fürnkranz and E. Hüllermeier, “Preference Learning,” Künstliche Intelligenz, vol. 19, no. 1, pp. 60-61, 2005.
[81] J. Doyle, “Prospects for Preferences,” Computational Intelligence, vol. 20, no. 2, pp. 111-136, May 2004.
[82] G.N. Yannakakis, M. Maragoudakis, and J. Hallam, “Preference Learning for Cognitive Modeling: A Case Study on Entertainment Preferences,” IEEE Systems, Man, and Cybernetics; Part A: Systems and Humans, vol. 39, no. 6, pp. 1165-1175, Nov. 2009.
[83] J. Togelius, M. Preuss, and G.N. Yannakakis, “Towards Multiobjective Procedural Map Generation,” Proc. Workshop Procedural Content Generation, Foundations of Digital Games, June 2010.
[84] D. Dimovska, P. Jarnfelt, S. Selvig, and G.N. Yannakakis, “Towards Procedural Level Generation for Rehabilitation,” Proc. Workshop Procedural Content Generation, Foundations of Digital Games, June 2010.
[85] G.N. Yannakakis, J. Togelius, R. Khaled, A. Jhala, K. Karpouzis, A. Paiva, and A. Vasalou, “Siren: Towards Adaptive Serious Games for Teaching Conflict Resolution,” Proc. Fourth European Conf. Games Based Learning, 2010.
[86] Y. Cheong and M. Young, “A Computational Model of Narrative Generation for Suspense,” Proc. AAAI '06 Computational Aesthetic Workshop, 2006.
[87] H.P. Martínez and G.N. Yannakakis, “Genetic Search Feature Selection for Affective Modeling: A Case Study on Reported Preferences,” Proc. Third Int'l Workshop Affective Interaction in Natural Environments, pp. 15-20, 2010.
[88] J. Togelius, R. De Nardi, and S.M. Lucas, “Towards Automatic Personalised Content Creation in Racing Games,” Proc. IEEE Symp. Computational Intelligence and Games, 2007.
[89] J. Marks and V. Hom, “Automatic Design of Balanced Board Games,” Proc. Artificial Intelligence and Interactive Digital Entertainment Int'l Conf., pp. 25-30, 2007.
[90] C. Browne, “Automatic Generation and Evaluation of Recombination Games,” PhD dissertation, Queensland Univ. of Tech nology, 2008.
[91] J. Togelius and J. Schmidhuber, “An Experiment in Automatic Game Design,” Proc. IEEE Symp. Computational Intelligence and Games, pp. 252-259, Dec. 2008.
[92] A. Martin, A. Lim, S. Colton, and C. Browne, “Evolving 3D Buildings for the Prototype Video Game Subversion,” Proc. EvoApplications, 2010.
[93] H. Takagi, “Interactive Evolutionary Computation: Fusion of the Capacities of EC Optimization and Human Evaluation,” Proc. IEEE, vol. 89, no. 9, pp. 1275-1296, 2001.
[94] M.O. Riedl and N. Sugandh, “Story Planning with Vignettes: Toward Overcoming the Content Production Bottleneck,” Proc. First Joint Int'l Conf. Interactive Digital Storytelling, pp. 168-179, 2008.
[95] M.J. Nelson, C. Ashmore, and M. Mateas, “Authoring an Interactive Narrative with Declarative Optimization-Based Drama Management,” Proc. Artificial Intelligence and Interactive Digital Entertainment Int'l Conf., 2006.
[96] P.J. Bentley and S. Kumar, “The Ways to Grow Designs: A Comparison of Embryogenies for an Evolutionary Design Problem,” Proc. Genetic and Evolutionary Computation Conf., pp. 35-43, 1999.
[97] G.S. Hornby and J.B. Pollack, “The Advantages of Generative Grammatical Encodings for Physical Design,” Proc. IEEE Congress on Evolutionary Computation, 2001.
[98] K.O. Stanley, “Compositional Pattern Producing Networks: A Novel Abstraction of Development,” Genetic Programming and Evolvable Machines, special issue on developmental systems, vol. 8, no. 2, pp. 131-162, 2007.
[99] K.O. Stanley and R. Miikkulainen, “A Taxonomy for Artificial Embryogeny,” Artificial Life, vol. 9, no. 2, pp. 93-130, 2003.
[100] F. Rothlauf, Representations for Genetic and Evolutionary Algorithms. Springer, 2006.
[101] J. Togelius, M. Preuss, N. Beume, S. Wessing, J. Hagelbäck, and G.N. Yannakakis, “Multiobjective Exploration of the Starcraft Map Space,” Proc. IEEE Conf. Computational Intelligence and Games, pp. 265-272, Aug. 2010.
[102] A. Lindenmayer, “Mathematical Models for Cellular Interaction in Development Parts I and II,” J. Theoretical Biology, vol. 18, pp. 280-299 and 300-315, 1968.
[103] P. Prusinkiewicz, “Graphical Applications of L-Systems,” Proc. Graphics Interface/Vision Interface, pp. 247-253, 1986.
[104] G.S.P. Miller, “The Definition and Rendering of Terrain Maps,” Proc. ACM SIGGRAPH, vol. 20, 1986.
[105] D. Ashlock, “Automatic Generation of Game Elements Via Evolution,” Proc. IEEE Conf. Computational Intelligence and Games, 2010.
[106] R.M. Smelik, T. Tutenel, K.J. de Kraker, and R. Bidarra, “Integrating Procedural Generation and Manual Editing of Virtual Worlds,” Proc. ACM Foundations of Digital Games, June 2010.
[107] A.M. Smith and M. Mateas, “Variations Forever: Flexibly Generating Rulesets from a Sculptable Design Space of Mini-Games,” Proc. IEEE Conf. Computational Intelligence and Games, pp. 273-280, Aug. 2010.