Using Eyetracking to Study Learning in Games

Journal of the European Economic Association, Forthcoming

60 Pages Posted: 20 Sep 2009

See all articles by Daniel T. Knoepfle

Daniel T. Knoepfle

Uber Technologies Inc.

Joseph Tao-yi Wang

National Taiwan University - Department of Economics

Colin Camerer

California Institute of Technology - Division of the Humanities and Social Sciences

Date Written: September 1, 2009

Abstract

We report results from an exploratory study using eye-tracking recording of information acquisition by players in a game theoretic learning paradigm. Eye-tracking is used to observe what information subjects look at in 4x4 normal-form games; the eye-tracking results favor sophisticated learning over adaptive learning and lend support to anticipatory or sophisticated models of learning in which subjects look at payoffs of other players to anticipate what those players might do. The decision data, however, are poorly fit by the simple anticipatory models we examine. We discuss how eye-tracking studies of information acquisition can fit into research agenda seeking to understand complex strategic behavior and consider methodological issues that must be addressed in order to maximize their potential.

Keywords: Eye-tracking, reinforcement, self-tuned EWA, anticipatory learning

JEL Classification: C72, C91, D83

Suggested Citation

Knoepfle, Daniel T. and Wang, Joseph Tao-yi and Camerer, Colin F., Using Eyetracking to Study Learning in Games (September 1, 2009). Journal of the European Economic Association, Forthcoming, Available at SSRN: https://ssrn.com/abstract=1466422 or http://dx.doi.org/10.2139/ssrn.1466422

Daniel T. Knoepfle

Uber Technologies Inc. ( email )

1455 Market St
San Francisco, CA 94103-1331
United States

Joseph Tao-yi Wang (Contact Author)

National Taiwan University - Department of Economics ( email )

1 Roosevelt Road, Section 4
Department of Economics
Taipei, 106
Taiwan
886-2-33668411 (Phone)

HOME PAGE: http://homepage.ntu.edu.tw/~josephw/

Colin F. Camerer

California Institute of Technology - Division of the Humanities and Social Sciences ( email )

1200 East California Blvd.
Pasadena, CA 91125
United States
626-395-4054 (Phone)
626-432-1726 (Fax)

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