ArticleeLife2022
Social-affective features drive human representations of observed actions.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Category-based attention facilitates the recognition of actions.Scientific reports · 2026Article
- Modeling human social vision with cinematic stimuli: An integrative approach.Journal of vision · 2026Article
- Dynamic spatiotemporal features in action recognition: a multimodal study.Communications biology · 2026Article
- Distinct perceptual and conceptual representations of natural actions along the lateral and dorsal visual streams.Communications biology · 2026Article
- Mapping social relevance in affective scenes: A large-scale multidimensional rating study.PloS one · 2026Article
- The Processing Stages for Social Interaction Recognition.Open mind : discoveries in cognitive science · 2026Article
- Revealing Key Dimensions Underlying the Recognition of Dynamic Human Actions.Communications psychology · 2025Article
- Article
- Actions at a glance: The time course of action, object, and scene recognition in a free recall paradigm.Cognitive, affective & behavioral neuroscience · 2025Article
- A core set of neural states underlying naturalistic memory reactivation in the posterior medial cortex.bioRxiv : the preprint server for biology · 2025Article
- The spatiotemporal neural dynamics of action-related features underlying action recognition.Imaging neuroscience (Cambridge, Mass.) · 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
- Patterns of saliency and semantic features distinguish gaze of expert and novice viewers of surveillance footage.Psychonomic bulletin & review · 2024Article
- Deep social neuroscience: the promise and peril of using artificial neural networks to study the social brain.Social cognitive and affective neuroscience · 2024Review
- Overlapping representations of observed actions and action-related features.Human brain mapping · 2024Article
- The Role of Agentive and Physical Forces in the Neural Representation of Motion Events.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Differential contributions of body form, motion, and temporal information to subjective action understanding in naturalistic stimuli.Frontiers in integrative neuroscience · 2024Article
- Hierarchical organization of social action features along the lateral visual pathway.Current biology : CB · 2023Article
- Seeing social interactions.Trends in cognitive sciences · 2023Review
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Humans observe actions performed by others in many different visual and social settings. What features do we extract and attend when we view such complex scenes, and how are they processed in the brain? To answer these questions, we curated two large-scale sets of naturalistic videos of everyday actions and estimated their perceived similarity in two behavioral experiments. We normed and quantified a large range of visual, action-related, and social-affective features across the stimulus sets. Using a cross-validated variance partitioning analysis, we found that social-affective features predicted similarity judgments better than, and independently of, visual and action features in both behavioral experiments. Next, we conducted an electroencephalography experiment, which revealed a sustained correlation between neural responses to videos and their behavioral similarity. Visual, action, and social-affective features predicted neural patterns at early, intermediate, and late stages, respectively, during this behaviorally relevant time window. Together, these findings show that social-affective features are important for perceiving naturalistic actions and are extracted at the final stage of a temporal gradient in the brain.
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