Reading out bodily cues to predict interactions

Successful motor coordination in social interactions requires the rapid interpretation of others' intentions from their actions. Previous research suggests that individuals use early bodily cues, such as movement kinematics and gaze, to predict others' behaviour. However, the motor features critical for signaling or decoding potential motor interactions remain unclear. In this study, we measured the kinematics of a basic motor act - grasping an object - executed with either individualistic (to place) or social (to pass) intentions. Subsequently, we conducted two action prediction tasks to identify bodily markers of (social) intentions. Hand positioning on the object emerged as a key kinematic indicator of the intention to interact with a partner, as shown by kinematic analyses and classification of participants' responses. Eye-tracking analysis revealed the face as the most attended feature during action observation. Notably, these cues were more consistently attended to when observing actions from a frontal - second-person - perspective rather than a lateral - third-person - perspective. Our findings highlight the saliency of hand-object interactions and the face in decoding potential engagement in second-person contexts. They also provide novel evidence for social affordance processing, expressed in action execution and observation, related to potential motor interactions with others. These features in decoding potential engagement in motor interactions.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-05-29
DOI
https://doi.org/10.1038/s41598-025-01224-7
Citations
3
Primary Topic
Action Observation and Synchronization
Type
article
Field-Weighted Citation Impact
7.32
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reading out bodily cues to predict interactions

Martina Ardizzi, Edoardo Arcuri, Vittorio Gallese
3 citations
Scientific Reports
Action Observation and Synchronization
7.32
article

Reading out bodily cues to predict interactions

Martina Ardizzi, Edoardo Arcuri, Vittorio Gallese
article en
3 citations

Abstract

Successful motor coordination in social interactions requires the rapid interpretation of others' intentions from their actions. Previous research suggests that individuals use early bodily cues, such as movement kinematics and gaze, to predict others' behaviour. However, the motor features critical for signaling or decoding potential motor interactions remain unclear. In this study, we measured the kinematics of a basic motor act - grasping an object - executed with either individualistic (to place) or social (to pass) intentions. Subsequently, we conducted two action prediction tasks to identify bodily markers of (social) intentions. Hand positioning on the object emerged as a key kinematic indicator of the intention to interact with a partner, as shown by kinematic analyses and classification of participants' responses. Eye-tracking analysis revealed the face as the most attended feature during action observation. Notably, these cues were more consistently attended to when observing actions from a frontal - second-person - perspective rather than a lateral - third-person - perspective. Our findings highlight the saliency of hand-object interactions and the face in decoding potential engagement in second-person contexts. They also provide novel evidence for social affordance processing, expressed in action execution and observation, related to potential motor interactions with others. These features in decoding potential engagement in motor interactions.

Scientific ReportsVol. 15(1)
University of Parma (IT), American Academy in Rome (US)
Reduced inequalities
Openalex Percentile: Top 3%
Action Observation and Synchronization
7.32
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Reading out bodily cues to predict interactions — Martina Ardizzi, Edoardo Arcuri, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS