The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Player modeling using self-organization in Tomb Raider: Underworld
Open accessAbstract
We present a study focused on constructing models of players for the major commercial title Tomb Raider: Underworld (TRU). Emergent self-organizing maps are trained on high-level playing behavior data obtained from 1365 players that completed the TRU game. The unsupervised learning approach utilized reveals four types of players which are analyzed within the context of the game. The proposed approach automates, in part, the traditional user and play testing procedures followed in the game industry since it can inform game developers, in detail, if the players play the game as intended by the game design. Subsequently, player models can assist the tailoring of game mechanics in real-time for the needs of the player type identified.
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Cites
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Interactive Storytelling: A Player Modelling Approach
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Maps for the Visualization of high-dimensional Data Spaces
Ultsch, A. (2003) · Cited by 196
Game Usability: Advancing the Player Experience
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Defining personas in games using metrics
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Cited by
Experience-Driven Procedural Content Generation
Yannakakis, G. N., & Togelius, J. (2011) · IEEE Transactions on Affective Computing · doi:10.1109/t-affc.2011.6 · Cited by 470
Self-citationPlayer Types: A Meta-synthesis
Hamari, J., & Tuunanen, J. (2014) · Transactions of the Digital Games Research Association · doi:10.26503/todigra.v1i2.13 · Cited by 355
Yannakakis, G. N. (2012) · Proceedings of the 9th conference on Computing Frontiers · doi:10.1145/2212908.2212954 · Cited by 179
Self-citationPlayer Typology in Theory and Practice
Bateman, C., Lowenhaupt, R., & Nacke, L. (2011) · DiGRA Digital Library · doi:10.26503/dl.v2011i1.562 · Cited by 146
(2010) · Cited by 140
Metadata
- Authors
- Drachen, A., Canossa, A., & Yannakakis, G. N.
- Venue
- 2009 IEEE Symposium on Computational Intelligence and Games
- Publisher
- IEEE
- Published
- 2009-09
- Pages
- 1-8
- OpenAlex
- W2146772569
- Cited by
- 285
- References
- 16
- FWCI
- 15.28
- Type
- conference paper
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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