Etkileşimli Hikâye Anlatma Sistemlerinde Oyuncu Profilleri: Örnek C++ Örüntü Tanıma Profil Çıkartıcı

Year 2015, , 23 - 40, 01.04.2015

Barbaros Bostan Gökhan Şahin

https://doi.org/10.5824/1309-1581.2015.2.002.x

Abstract

Oyuncu profili çıkartma bilgisayar oyunları ile ilgili popüler bir araştırma sahasıdır ama Etkileşimli Hikaye Anlatma Sistemleri için çok önemlidir. Bu çalışmada amacımız: 1 oyuncu eylemlerini sürekli gözlemleyerek gerçek zamanlı profiller çıkartmak, 2 profil çıkartabilmek için örüntü oyuncu eylemleri dizisi tiplerini tanımlamak, 3 örüntüleri hızlı bir biçimde eşleştirmek, ve 4 eşleşen örüntüler ile oyuncu profilleri arasındaki ilişkiyi örüntü-motivasyon eşleştirmeleri ile ortaya koymaktır. Bu bağlamda, bir Etkileşimli Hikaye Anlatma projesinde kullanılmak üzere karmaşık örüntü örnekleri tanımladık ve C++ dilinde bir profil çıkartıcı geliştirdik.

Keywords

oyuncu profilleri, oyuncu türleri, örüntü tanıma

Player Profiling for Interactive Storytelling Systems: A C++ Pattern Matching Profiler

Abstract

Player profiling is a popular research area in computer gaming but it is especially important for interactive storytelling IS systems. In this article our aim is: 1 to real-time profile players by constantly monitoring player actions, 2 to define pattern sequence of player actions types for profiling, 3 to match patterns rapidly, and 4 to define the relationship between matched patterns and player profiles by pattern-motivation pairings. We defined complex pattern samples for profiling and developed a C++ profiler for an Interactive Storytelling project that matches user actions to these patterns.

Keywords

player profiles, player types, pattern matching

References

• Barber, H., Kudenko, D. (2008). Generation of Dilemma-based Interactive Narratives with a Changeable Story Goal, in: Proceedings of Second International Conference on Intelligent Technologies for Interactive Entertainment (INTETAIN).
• Bartle, R.A. (2004). Designing Virtual Worlds, New Riders Publishing.
• Bates, J. (1992). Virtual Reality, Art, and Entertainment. Presence: The Journal of Tele-operators and Virtual Environments, 1 (1), 133-138.
• Beal, C. R., Beck, J., Westbrook, D., Atkin, M., Cohen, P. (2002). Intelligent modeling of the user in interactive entertainment, paper presented at the AAAI Spring Symposium.
• Berridge, K.C. (2001). Reward Learning: Reinforcement, Incentives and Expectations, in: Medin, D. L. (ed.), Psychology of Learning and Motivation, 40, pp. 223-278.
• Bradley, K., Rafter, R., Smyth, B. (2000). Case-Based User Profiling for Content Personalisation, In: International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems (AH2000).
• Dena, C. (2008). Emerging Participatory Culture Practices: Player-Created Tiers in Alternate Reality Games. Convergence: The International Journal of Research into New Media Technologies, 14, 41-57.
• Cavazza, M., Charles, F., Mead, S.J. (2002). Interacting with Virtual Characters in Interactive Storytelling, in: Proceedings of the First ACM Joint Conference on Autonomous Agents and MultiAgent Systems, Bologna, Italy, pp. 318-325.
• El-Nasr, M.S. (2007). Interaction, Narrative, and Drama Creating an Adaptive Interactive Narrative using Performance Arts Theories, Interaction Studies, 8 (2), 209-240.
• Esposito, F., Semeraro, G., Ferilli, S., Degemmis, M., Di Mauro, N., Basile, T.M.A., Lops, P. (2004) Evaluation and Validation of two Approaches to User Profiling, in: Berendt, B., Hotho, A., Mladenic, D., van Someren, M., Spiliopoulou, M. and Stumme, G. (Eds.), 1st European Web Mining Forum, Lecture Notes in Artificial Intelligence, Springer:Berlin.
• Fawcett, T., Provost, F. (1996) Combining Data Mining and Machine Learning for Effective User Profiling, in: Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining.
• Froschl, C. (2005) User Modeling and User Profiling in Adaptive E-learning Systems, Master Thesis, University of Technology, Graz, Austria..
• Godoy, D., Amandi, A. (2003) A User Profiling Architecture for Textual-Based Agents, Revista Iberoamericana de Inteligencia Artificial, 7 (21), pp. 27-36.
• Heckhausen, J., Heckhausen, H. (2005). Motivation and Action, Cambridge University Press. Kelso, M., Weyhrauch, P., Bates, J. (1993). Dramatic Presence. Presence: The Journal of Teleoperators and Virtual Environments, 2 (1), 1-15.
• Krulwich, B. (1997) Lifestyle finder: Intelligent user profiling using large-scale demographic data, Artificial Intelligence Magazine, 18, 37-45.
• Lashkari, Y., Metral, M., Maes, P. (1994). Collaborative Interface Agents. In: Proceedings of the Twelfth National Conference on Artificial Intelligence.
• Magerko, B. (2005) Story Representation and Interactive Drama, in: Proceedings of the 1st Conf. On Artificial Intelligence and Interactive Digital Entertainment.
• Mateas, M. (1997). An Oz-Centric Review of Interactive Drama and Believable Agents, in: AI Today: Recent Trends and Developments. Lecture Notes in Artificial Intelligence 1600, pp. 297-328.
• Mateas, M. (2000). A Neo-Aristotelian Theory of Interactive Drama, in Proceedings of AAAI Spring Symposium on AI and Interactive Entertainment.
• Mateas, M., Stern, A. (2001). Interactive Drama. A Thesis Proposal, Ph.D. thesis, Pittsburgh, Carnegie Mellon University.
• Mulligan, J., Patrovsky, B. (2003). Developing Online Games. An Insider's Guide. Indianapolis, IN: New Riders.
• Nebel, I., Smith, B., Paschke, R. (2003) A user profiling component with the aid of user ontologies, in: Workshop Learning - Teaching - Knowledge - Adaptivity (LLWA 03), Karlsruhe.
• Peinado, F., Gervás, P. (2007). Automatic Direction of Automatic Storytelling: Formalizing the Game Master Paradigm, in: Proceedings of the 4th International Conference on Virtual Storytelling: Using Virtual Reality Technologies for Storytelling (ICVS).
• Pohjola, M. (2004). Autonomous Identities: Immersion as a Tool for Exploring, Empowering and Emancipating Identities, in: Montola, M., Stenros, J. (Eds.), Beyond Role and Play: tools, toys and theory for harnessing the imagination. Ropeconry, Helsinki, pp. 81-96.
• Salen, K., Zimmerman, E. (2003). Rules of Play: Game Design Fundamentals, Cambridge, MA: The MIT Press.
• Schiaffino, S.N., Amandi, A. (2000) User profiling with Case-Based Reasoning and Bayesian Networks, IBERAMIA-SBIA 2000 Open Discussion Track, pp. 12-21.
• Semeraro, G., Degemmis, M., Lops, P., Basile, P. (2007) Combining Learning and Word Sense Disambiguation for Intelligent User Profiling, Proceedings of the 20th International Joint Conference on Artificial Intelligence, Hyderabad, India, pp. 2856-2861.
• Szilas, N. (2003). IDTension: A Narrative Engine for Interactive Drama, in: Proceedings of the Technologies for Interactive Digital Storytelling and Entertainment (TIDSE) Conference, 187-203.
• Thue, D., Bulitko, V., Spetch, M., Wasylishen, E. (2007). Interactive Storytelling: A Player Modelling Approach, in: Proceedings of Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE), Stanford, California, 43-48.
• Waszkiewicz, P., Cunningham, P., Byrne, C. (1999) Case-based User Profiling in a Personal Travel Assistant, User Modeling: Proceedings of the 7th International Conference, pp. 323-325.