The recently proposed integrated coherence-based decisions and search model (iCodes) makes predictions for search
behavior in multi-attribute decision tasks beyond those of classic decision-making heuristics. More precisely, it predicts the
Attraction Search Effect that describes a tendency to search for information for the option that is already attractive given the
available evidence. To date, the Attraction Search Effect has been successfully tested using a hypothetical stock-market game
that was highly stylized and specifically designed to be highly diagnostic. In three experiments, we tested whether the Attraction
Search Effect generalizes to different semantic contexts, different cue-value patterns, and a different presentation format than
the classic matrix format. Across all experiments, we find evidence for information-search behavior that matches iCodes’s
information-search prediction. Therefore, our results corroborate not only the generalizability of the Attraction Search Effect
in various contexts but also the inherent process assumptions of iCodes.
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Dieser Eintrag ist Teil der Universitätsbibliographie.
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