Evidence map›Paper›PMID 35760844›Full record

ArticleNature human behaviour2022

Amplification in the evaluation of multiple emotional expressions over time.

Amit Goldenberg, Jonas Schöne, Zi Huang, Timothy D Sweeny, Desmond C Ong, Timothy F Brady, Maria M Robinson, David Levari, Jamil Zaki, James J Gross

Abstract read
In one paragraph

Article in Nature human behaviour, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Ensemble Coding of Crowd with Cross-Category Facial Expressions.Behavioral sciences (Basel, Switzerland) · 2024
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Transition dynamics shape mental state concepts.Journal of experimental psychology. General · 2023
    Article
  14. Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Amit Goldenberg *Harvard Business School, Harvard University, Boston, MA, USA. agoldenberg@hbs.edu.ORCID http://orcid.org/0000-0002-9417-5682
Jonas Schöne *Department of Experimental Psychology, University of Oxford, Oxford, UK.
Zi HuangHarvard Business School, Harvard University, Boston, MA, USA.
Timothy D SweenyDepartment of Psychology, University of Denver, Denver, CO, USA.
Desmond C OngDepartment of Information Systems and Analytics, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0002-6781-8072
Timothy F BradyUniversity of California, San Diego, CA, USA.ORCID http://orcid.org/0000-0001-5924-5211
Maria M RobinsonUniversity of California, San Diego, CA, USA.
David LevariHarvard Business School, Harvard University, Boston, MA, USA.ORCID http://orcid.org/0000-0002-7953-7999
Jamil ZakiDepartment of Psychology, Stanford University, Stanford, CA, USA.
James J GrossDepartment of Psychology, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-3624-3090

Funding

Computational and brain predictors of emotion cue integrationR01MH112560 · NIMH · STANFORD UNIVERSITY · PI ZAKI, JAMIL · 2017 to 2021
$2.2M
Modeling Correlated Signals in Memory SystemsF32MH127823 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ROBINSON, MARIA · 2021 to 2023
$181k
NIMH NIH HHS F32 MH127823NIMH NIH HHS R01 MH112560
6 · The paper itself

Abstract

Social interactions are dynamic and unfold over time. To make sense of social interactions, people must aggregate sequential information into summary, global evaluations. But how do people do this? Here, to address this question, we conducted nine studies (N = 1,583) using a diverse set of stimuli. Our focus was a central aspect of social interaction-namely, the evaluation of others' emotional responses. The results suggest that when aggregating sequences of images and videos expressing varying degrees of emotion, perceivers overestimate the sequence's average emotional intensity. This tendency for overestimation is driven by stronger memory of more emotional expressions. A computational model supports this account and shows that amplification cannot be explained only by nonlinear perception of individual exemplars. Our results demonstrate an amplification effect in the perception of sequential emotional information, which may have implications for the many types of social interactions that involve repeated emotion estimation.

Indexed as

EmotionsFacial ExpressionHumans

Identifiers

PMID35760844
PMCPMC10263387

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.