Evidence map›Paper›PMID 28226255›Full record

ArticleCortex; a journal devoted to the study of the nervous system and behavior2017

Action perception as hypothesis testing.

Francesco Donnarumma, Marcello Costantini, Ettore Ambrosini, Karl Friston, Giovanni Pezzulo

Abstract read
In one paragraph

Article in Cortex; a journal devoted to the study of the nervous system and behavior, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Review
  2. Deep Hybrid Models: Infer and Plan in a Dynamic World.Entropy (Basel, Switzerland) · 2025
    Article
  3. Review
  4. Article
  5. Kinematic priming of action predictions.Current biology : CB · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Effects of trait empathy and expectation on the processing of observed actions.Cognitive, affective & behavioral neuroscience · 2021
    Article
  12. Review
  13. Affordance matching predictively shapes the perceptual representation of others' ongoing actions.Journal of experimental psychology. Human perception and performance · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors.

Francesco DonnarummaInstitute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy.
Marcello CostantiniCentre for Brain Science, Department of Psychology, University of Essex, Colchester, UK; Laboratory of Neuropsychology and Cognitive Neuroscience, Department of Neuroscience and Imaging, University G. d'Annunzio, Chieti, Italy; Institute for Advanced Biomedical Technologies - ITAB, Foundation University G. d'Annunzio, Chieti, Italy.
Ettore AmbrosiniDepartment of Neuroscience, University of Padua, Padua, Italy; Laboratory of Neuropsychology and Cognitive Neuroscience, Department of Neuroscience and Imaging, University G. d'Annunzio, Chieti, Italy; Institute for Advanced Biomedical Technologies - ITAB, Foundation University G. d'Annunzio, Chieti, Italy.
Karl FristonThe Wellcome Trust Centre for Neuroimaging, UCL, London, UK.
Giovanni PezzuloInstitute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy. Electronic address: giovanni.pezzulo@istc.cnr.it.

Funding

Wellcome TrustWellcome Trust 088130/Z/09/Z
6 · The paper itself

Abstract

We present a novel computational model that describes action perception as an active inferential process that combines motor prediction (the reuse of our own motor system to predict perceived movements) and hypothesis testing (the use of eye movements to disambiguate amongst hypotheses). The system uses a generative model of how (arm and hand) actions are performed to generate hypothesis-specific visual predictions, and directs saccades to the most informative places of the visual scene to test these predictions - and underlying hypotheses. We test the model using eye movement data from a human action observation study. In both the human study and our model, saccades are proactive whenever context affords accurate action prediction; but uncertainty induces a more reactive gaze strategy, via tracking the observed movements. Our model offers a novel perspective on action observation that highlights its active nature based on prediction dynamics and hypothesis testing.

Indexed as

Models, TheoreticalEye MovementsHumansIntentionMotion PerceptionMovementPsychomotor PerformanceTheory of MindAction observationActive inferenceActive perceptionHypothesis testingMotor prediction

Identifiers

PMID28226255
PMCPMC5383736

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.