Identifying expertise : data exploration in Tetris
Loading...
Authors
Lindstedt, John K.
Issue Date
2013-12
Type
Electronic thesis
Thesis
Thesis
Language
ENG
Keywords
Cognitive science
Alternative Title
Abstract
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 Sciences
School of Humanities, Arts, and Social Sciences
Full Citation
Publisher
Rensselaer Polytechnic Institute, Troy, NY