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Toward Modeling Task Difficulty: The Case of Chess

Authors:
Dayana Hristova
Matej Guid
Ivan Bratko

Keywords: Task Difficulty, Problem Solving, Search Trees, Chess, Chess Tactical Problems, Eye Tracking, Chesstempo.com

Abstract:
We investigate the question of experts’ ability to estimate task difficulty through a case study that asks players to rate tactical chess positions. In an eye tracking experiment, experts’ estimations are compared to the statistic–based difficulty ratings of the chesstempo.com website. The subjects’ solutions of chess problems and their considered chess variations are analyzed in connection to ChessTempo’s solutions. In addition, eye tracking and performance data (time and accuracy) are used as physiological indicators of subjectively perceived difficulty. In the course of our research, we also aim to identify the attributes of tactical positions that induce difficulty. Understanding the connection between players’ estimation of difficulty and the properties of the search trees of variations considered is essential for modeling the difficulty of tactical positions.

Pages: 211 to 214

Copyright: Copyright (c) IARIA, 2014

Publication date: May 25, 2014

Published in: conference

ISSN: 2308-4197

ISBN: 978-1-61208-340-7

Location: Venice, Italy

Dates: from May 25, 2014 to May 29, 2014