Estimating human inference levels across different memory biases
Published: 9 December 2024| Version 1 | DOI: 10.17632/t635ctg2bn.1
Contributors:
, , Description
Experiment data of "Estimating human inference levels across different memory biases". Data is gathered using Amazon mechanical Turk. Experiment web page is implemented in HTML, CSS, Javascript. We propose a novel approach to estimate human inference levels, drawing inspiration from the Keynesian beauty contest, a classic experimental paradigm in behavioral finance. We measured 'valuation' from prospect theory task and 'meta-cognition' from dot discrimination task. We compared consistency of our measure. And we examined memory-dependent inference profile using the data.
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Institutions
Korea Advanced Institute of Science and Technology
Categories
Cognitive Science, Human Behavior, Decision Making