Evidence map›Paper›PMID 30066475›Full record

ReviewTopics in cognitive science2019

Computational Models of Emotion Inference in Theory of Mind: A Review and Roadmap.

Desmond C Ong, Jamil Zaki, Noah D Goodman

Abstract readReview
In one paragraph

Review in Topics in cognitive science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Negative affect interacts with perceptual affective biases.Journal of psychopharmacology (Oxford, England) · 2026
    Article
  2. Sensory encoding of emotion conveyed by the face and visual context.Social cognitive and affective neuroscience · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Do you feel like (A)I feel?Frontiers in psychology · 2024
    Article
  11. Article
  12. Emotion prediction as computation over a generative theory of mind.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2023
    Article
  13. Article
  14. Computational models of subjective feelings in psychiatry.Neuroscience and biobehavioral reviews · 2023
    Review
  15. Children's Reasoning About Empathy and Social Relationships.Open mind : discoveries in cognitive science · 2023
    Article
  16. Calculated Feelings: How Children Use Probability to Infer Emotions.Open mind : discoveries in cognitive science · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. Review
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

3 authors.

Desmond C OngA*STAR Artificial Intelligence Initiative, Agency for Science, Technology and Research (A*STAR).
Jamil ZakiDepartment of Psychology, Stanford University.
Noah D GoodmanDepartment of Psychology, Stanford University.

Funding

Computational and brain predictors of emotion cue integrationR01MH112560 · NIMH · STANFORD UNIVERSITY · PI ZAKI, JAMIL · 2017 to 2021
$2.2M
NIMH NIH HHS R01 MH112560
6 · The paper itself

Abstract

Research on social cognition has fruitfully applied computational modeling approaches to explain how observers understand and reason about others' mental states. By contrast, there has been less work on modeling observers' understanding of emotional states. We propose an intuitive theory framework to studying affective cognition-how humans reason about emotions-and derive a taxonomy of inferences within affective cognition. Using this taxonomy, we review formal computational modeling work on such inferences, including causal reasoning about how others react to events, reasoning about unseen causes of emotions, reasoning with multiple cues, as well as reasoning from emotions to other mental states. In addition, we provide a roadmap for future research by charting out inferences-such as hypothetical and counterfactual reasoning about emotions-that are ripe for future computational modeling work. This framework proposes unifying these various types of reasoning as Bayesian inference within a common "intuitive Theory of Emotion." Finally, we end with a discussion of important theoretical and methodological challenges that lie ahead in modeling affective cognition.

Indexed as

EmotionsModels, TheoreticalSocial PerceptionTheory of MindThinkingHumansAffective cognitionEmotionInferenceTheory of mind

Identifiers

PMID30066475
PMCPMC7077035

What OpenQuestion holds

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Registered trials

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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.