Gaze-based Assessment of Expertise in Chess

Author:

Fuhl Wolfgang1ORCID,Hyseni Gazmend2ORCID

Affiliation:

1. Eberhard Karls Universität Tübingen, Wilhelm Schickard Institut, Germany

2. Eberhard Karls Universität Tübingen, University Tübingen, Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

ACM

Reference31 articles.

1. Thomas Armstrong and Bunmi O Olatunji. 2012. Eye tracking of attention in the affective disorders: A meta-analytic review and synthesis. Clinical psychology review 32, 8 (2012), 704–723.

2. Hajra Ashraf, Mikael H Sodergren, Nabeel Merali, George Mylonas, Harsimrat Singh, and Ara Darzi. 2018. Eye-tracking technology in medical education: A systematic review. Medical teacher 40, 1 (2018), 62–69.

3. Tom Beesley, Daniel Pearson, and Mike Le Pelley. 2019. Eye tracking as a tool for examining cognitive processes. In Biophysical measurement in experimental social science research. Elsevier, 1–30.

4. Jane Bromley, Isabelle Guyon, Yann LeCun, Eduard Säckinger, and Roopak Shah. 1993. Signature verification using a" siamese" time delay neural network. Advances in neural information processing systems 6 (1993).

5. Deep semantic gaze embedding and scanpath comparison for expertise classification during OPT viewing

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