Contrasting heuristic vs holistic decisions

titleContrasting heuristic vs holistic decisions
start_date2024/10/11
schedule11h15-12h30
onlineno
location_info6th floor room
summaryRecent studies have suggested that people are able to carry out fast multi-attribute decisions, in a compensatory and near normative way, based on the weighted-average (WAV), rather than deploying strategies that only examine part of the choice-information, as in the Take the Best (TTB) heuristic. In this talk I will first discuss a probabilistic extension of TTB, labeled SPA (single probabilistic attribute), which preserves the central idea that each decision is made based on a single attribute, but instead of selecting this attribute deterministically (based on well-ordered hierarchy of weights), it chooses this attribute based on a probabilistic sampling process. I will show that SPA and WAV are indistinguishable based on choices but are distinguishable based on RTs and will present an experiment, in which 54 participants carried out a speeded multi-attribute decision task with prescribed weights, to test which of the two models (WAV vs. SPA) is better supported by choice-RT data, previously classified as WAV. The results undermine the predictions of the SPA model, indicating that about 70% of participants are able to carry out fast and compensatory decisions that attend to (and weight) all choice attributes. Finally, I will suggest that the WAV mechanism is based on holistic within-alternative processing, and will contrast between this and traditional decision strategies based on within-attribute comparisons, showing the former reduces non-normative violations of transitivity of preference.
responsiblesSaucet, Pejsachowicz