Identifying expertise : data exploration in Tetris
Author
Lindstedt, John K.Other Contributors
Gray, Wayne D., 1950-; Schoelles, Michael J.; Fajen, Brett R.;Date Issued
2013-12Subject
Cognitive scienceDegree
MS;Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.; Attribution-NonCommercial-NoDerivs 3.0 United StatesMetadata
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The identification of expertise in a complex task is trivial when all data is in after the fact. To achieve a better understanding of the nature of expertise my first goal, in this work, is to identify the behaviors most predictive of different levels of expertise (novice to expert) in the video game Tetris. The second goal is to examine how little data is required to accurately predict levels of expertise. The present study analyzes potential behavioral indicators of expertise in Tetris at three levels (global, local, and immediate) and under four levels of data quantity. Presented are statistical models using the established metrics of behavior to predict overall output performance. Results indicate mild success in predicting performance, offering a starting point for analyzing other complex and dynamic tasks with explicit criteria for successful performance.;Description
December 2013; School of Humanities, Arts, and Social SciencesDepartment
Dept. of Cognitive Science;Publisher
Rensselaer Polytechnic Institute, Troy, NYRelationships
Rensselaer Theses and Dissertations Online Collection;Access
CC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.;Collections
Except where otherwise noted, this item's license is described as CC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.