ArticleScience advances2021
People accurately predict the transition probabilities between actions.
Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
The trial behind it
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Who cites it
11 citing papers in PubMed.
- Sonic Sleight of Hand: Sound Induces Illusory Distortions in the Perception and Prediction of Robot Action.International journal of social robotics · 2025Article
- Behaviorally-relevant features of observed actions dominate cortical representational geometry in natural vision.Research square · 2024Article
- Behaviorally-relevant features of observed actions dominate cortical representational geometry in natural vision.bioRxiv : the preprint server for biology · 2024Article
- Neural representations of situations and mental states are composed of sums of representations of the actions they afford.Nature communications · 2024Article
- Transition dynamics shape mental state concepts.Journal of experimental psychology. General · 2023Article
- A data-driven investigation of human action representations.Scientific reports · 2023Article
- Spontaneous behavioral coordination between avoiding pedestrians requires mutual anticipation rather than mutual gaze.iScience · 2022Article
- Article
- Six dimensions describe action understanding: The ACT-FASTaxonomy.Journal of personality and social psychology · 2022Article
- Application of Distributed Probability Model in Sports Based on Deep Learning: Deep Belief Network (DL-DBN) Algorithm for Human Behaviour Analysis.Computational intelligence and neuroscience · 2022Article
- Behavioral and neural representations en route to intuitive action understanding.Neuropsychologia · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Social life is a complex dance. To coordinate gracefully with one's partners, one must predict their actions. Here, we investigated how people predict others' actions. We hypothesized that people can accurately predict others' future actions based on knowledge of their current actions, coupled with knowledge of action transitions. To test whether people have accurate knowledge of the transition probabilities between actions, we compared actual rates of action transitions-calculated from four large naturalistic datasets-to participants' ratings of the transition probabilities between corresponding sets of actions. In five preregistered studies, participants demonstrated accurate mental models of action transitions. Furthermore, we found that people drew upon conceptual knowledge of actions-described by the six-dimensional ACT-FASTaxonomy-to guide their accurate predictions. Together, these results indicate that people can accurately anticipate other people's moves in the dance of social life and that the structure of action knowledge may be tailored to making these predictions.
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What OpenQuestion holds
Registered trials
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.