Zafrina, B., Veksler, V. D., Gamard, S., & Gray, W. D. (2006). Tetris as a Task Environment for Research in Dynamic Decision Making, Attention, Categorization, and Cognitive Modeling. In Sun, R., & Miyake, N. (Eds.). Proceedings of the 28th Annual Conference of the Cognitive Science Society (p. 2637). Hillsdale, NJ: Lawrence Erlbaum. |
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Abstract
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Tetris is a popular game that has been extensively studied in the mathematical and computer science communities (Hohenberger, Demaine, & Liben-Nowell, 2003). However, it is also a dynamic task environment in which a human decision maker must integrate perceptual information with game dynamics in order to determine where best to place a piece. Tetris makes for an intriguing experimental paradigm because it integrates attention, memory, learning, categorization, strategy selection, and decision-making in a single complex and interesting task. To explore this task environment, we analyze players’ actions, eye-gazes, and saccades as a function of the falling piece, the contour of the board, and experience level. We also attempt to develop a user model of Tetris performance that considers similar aspects of the game and selects similar strategies to those of the human players (based on experience level). Current analyses are in the initial stages, and the range of research presented here is a mere fraction of what is afforded given this task environment.
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Author Information
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