A novel approach to studying strategic decisions with eye-tracking and machine learning

Michał Król , Magdalena Król

Abstract

We propose a novel method of using eye-tracking to study strategic decisions. The conventional approach is to hypothesize what eye-patterns should be observed if a given model of decision-making was accurate, and then proceed to verify if this occurs. When such hypothesis specification is difficult a priori, we propose instead to expose subjects to a variant of the original strategic task that should induce processing it in a way consistent with the postulated model. It is then possible to use machine learning pattern recognition techniques to check if the associated eye-patterns are similar to those recorded during the original task. We illustrate the method using simple examples of 2x2 matching-pennies and coordination games with or without feedback about the counterparts’ past moves. We discuss the strengths and limitations of the method in this context.
Author Michał Król
Michał Król,,
-
, Magdalena Król (Filia we Wrocławiu / II Wydział Psychologii we Wrocławiu)
Magdalena Król,,
- II Wydział Psychologii we Wrocławiu
Journal seriesJudgment and Decision Making, ISSN 1930-2975, (A 35 pkt)
Issue year2017
Vol12
No6
Pages596-609
Publication size in sheets0.65
Keywords in English task recognition, eye-tracking, strategic games, machine learning
ASJC Classification2002 Economics and Econometrics; 3202 Applied Psychology; 1800 General Decision Sciences
URL http://journal.sjdm.org/17/17327/jdm17327.pdf
Languageen angielski
File
32. Król_JDM_2017.pdf 293.69 KB
Additional file
32a. oswiadczenie_jdm_2017_Król.pdf 183.17 KB
Score (nominal)35
Score sourcejournalList
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2017 = 1.244; WoS Impact Factor: 2017 = 2.525 (2) - 2017=2.868 (5)
Citation count*42 (2020-11-28)
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