People display consistent recency and primacy effects in behavior and neural activity across perceptual and value-based judgments

Retrospective judgments require decision-makers to gather information over time and integrate that information into a summary statistic like the average. Many retrospective judgments require putting equal weight on early and late information, in contrast to prospective judgments that involve predicting the future and so rely more on late information. We investigate how people weight information over time when continuously reporting the average stimulus strength in a sequence of displays. We investigate the consistency of these temporal profiles across perceptual and value-based tasks using both behavior and functional magnetic resonance imaging (fMRI) data. We found that people display remarkably consistent temporal weighting functions across choice domains, with a generally strong recency bias and modest primacy bias. The fMRI data revealed evidence-tracking activity in the cuneus in both tasks and in the left dorsolateral prefrontal cortex in the value-based task. Finally, a network of cognitive control regions is more active for people who exhibit a stronger primacy vs. recency bias. Together, our behavioral findings indicate that people consistently overweight recency when evaluating past information, and the neural data suggest that overcoming this tendency may require cognitive control.

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Institutions

Publication Details

Journal
Cognitive Affective & Behavioral Neuroscience
Published
2025-03-26
DOI
https://doi.org/10.3758/s13415-025-01285-1
Citations
3
Primary Topic
Decision-Making and Behavioral Economics
Type
article
Field-Weighted Citation Impact
6.81

Funders

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article

People display consistent recency and primacy effects in behavior and neural activity across perceptual and value-based judgments

Giwon Bahg, Ian Krajbich, Brandon M. Turner, Minhee Yoo
3 citations
Cognitive Affective & Behavioral Neuroscience
Decision-Making and Behavioral Economics
6.81
article

People display consistent recency and primacy effects in behavior and neural activity across perceptual and value-based judgments

Giwon Bahg, Ian Krajbich, Brandon M. Turner, Minhee Yoo
article en
3 citations

Abstract

Retrospective judgments require decision-makers to gather information over time and integrate that information into a summary statistic like the average. Many retrospective judgments require putting equal weight on early and late information, in contrast to prospective judgments that involve predicting the future and so rely more on late information. We investigate how people weight information over time when continuously reporting the average stimulus strength in a sequence of displays. We investigate the consistency of these temporal profiles across perceptual and value-based tasks using both behavior and functional magnetic resonance imaging (fMRI) data. We found that people display remarkably consistent temporal weighting functions across choice domains, with a generally strong recency bias and modest primacy bias. The fMRI data revealed evidence-tracking activity in the cuneus in both tasks and in the left dorsolateral prefrontal cortex in the value-based task. Finally, a network of cognitive control regions is more active for people who exhibit a stronger primacy vs. recency bias. Together, our behavioral findings indicate that people consistently overweight recency when evaluating past information, and the neural data suggest that overcoming this tendency may require cognitive control.

Cognitive Affective & Behavioral NeuroscienceVol. 25(4)
University of California, Los Angeles (US), Vanderbilt University (US), The Ohio State University (US)
National Science Foundation
Peace, Justice and strong institutions
Openalex Percentile: Top 5%
Decision-Making and Behavioral Economics
6.81
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People display consistent recency and primacy effects in behavior and neural activity across perceptual and value-based judgments — Giwon Bahg, Ian Krajbich, et al. · Cognitive Affective & Behavioral Neuroscience (2025) | TGRS Research Map | TGRS