Evidence map›Paper›PMID 39644430›Full record

ArticleCognitive processing2025

Discrete, recurrent, and scalable patterns in non-operant judgement underlie affective picture ratings.

Leandros Stefanopoulos, Byoung-Woo Kim, John Sheppard, Emanuel A Azcona, Nicole L Vike, Sumra Bari, Shamal Lalvani, Sean Woodward, Nicos Maglaveras, Martin Block and 2 more

Abstract read
In one paragraph

Article in Cognitive processing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

12 authors.

Leandros Stefanopoulos *Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA.
Byoung-Woo Kim *Departments of Computer Science and Biomedical Engineering, University of Cincinnati, Cincinnati, OH, USA.
John Sheppard *Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Emanuel A Azcona *Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA.
Nicole L Vike *Departments of Computer Science and Biomedical Engineering, University of Cincinnati, Cincinnati, OH, USA.
Sumra Bari *Departments of Computer Science and Biomedical Engineering, University of Cincinnati, Cincinnati, OH, USA.
Shamal Lalvani *Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA.
Sean Woodward *Feinberg School of Medicine, Northwestern University, Evanston, IL, USA.
Nicos MaglaverasSchool of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Martin Block *Integrated Marketing Communications, Northwestern University, Evanston, IL, USA.
Aggelos K Katsaggelos *Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA.
Hans C Breiter *Departments of Computer Science and Biomedical Engineering, University of Cincinnati, Cincinnati, OH, USA. breitehs@ucmail.uc.edu.ORCID http://orcid.org/0000-0002-4385-2778

Funding

Office of Naval Research N00014-21-1-2216Office of Naval Research N00014-23-1-2396
6 · The paper itself

Abstract

Operant keypress tasks in a reinforcement-reward framework where behavior is shaped by its consequence, show lawful relationships in human preference behavior (i.e., approach/avoidance) and have been analogized to "wanting". However, they take 20-40 min as opposed to short non-operant rating tasks, which can be as short as 3 min and unsupervised, thus more readily applied to internet research. It is unknown if non-operant rating tasks where each action does not have a consequence, analogous to "liking", show similar lawful relationships. We studied non-operant, picture-rating data from three independent population cohorts (N = 501, 506, and 4019 participants) using the same 7-point Likert scale for negative to positive preferences, and the same categories of images from the International Affective Picture System. Non-operant picture ratings were used to compute location, dispersion, and pattern (entropy) variables, that in turn produced similar value, limit, and trade-off functions to those reported for operant keypress tasks, all with individual R

Indexed as

AffectJudgmentPattern Recognition, VisualAdolescentAdultChoice BehaviorFemaleHumansMaleMiddle AgedYoung AdultApproachAversionAvoidanceBig dataJudgmentLikingPreferenceRelative preference theoryReward

Identifiers

PMID39644430
PMCPMC12055920

What OpenQuestion holds

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LicenceCC BY
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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.