A novel approach to studying strategic decisions with eye-tracking and machine learning
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...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Cambridge University Press
2017-11-01
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| Serie: | Judgment and Decision Making |
| Soggetti: | |
| Accesso online: | http://journal.sjdm.org/17/17327/jdm17327.pdf |
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