Frontiers in psychology · 2026
Emotional modulation of temporal density in natural grasping: a vision-based kinematic study.
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Gülpinar Hakki Egemen, Skryzhadlovska Anastasiia, Haschke Robert, Abramov Olga, Jahanian Najafabadi Amir
Аннотация
INTRODUCTION: While emotions affect perception, their influence on physical interaction remains underexplored. This study investigated how the emotional valence of everyday objects manifests in hand kinematics during natural grasping.
METHODS: Hand movements were recorded from 40 participants using an overhead smartphone camera (1080p; 30 fps), combined with MediaPipe and OpenCV. Participants were randomly assigned to either a Visual Modality (n = 20) or a Non-Visual Modality (n = 20) and were instructed to grasp five objects designed to evoke distinct emotional responses (fear, disgust, neutrality, and happiness). Kinematic measures, including grasping frame rate (frames/s) and hand velocity (px/frame), were extracted alongside self-reported emotional ratings.
RESULTS: Results revealed that motor behavior is not merely functional but emotionally reactive: threat-based objects (e.g., a spider) elicited significantly higher grasping frame rates, indicating more sustained interaction with these stimuli, potentially reflecting heightened monitoring or cautious engagement. A linear mixed-effects model identified a significant Modality × Object interaction, indicating that visual access influenced object-related effects selectively rather than uniformly. Notably, these affect-related changes were captured in grasping frame rate (a temporal-density measure) rather than in hand velocity.
DISCUSSION: The emotional properties of objects systematically modulate motor behavior during grasping. These findings help bridge the gap between affect and physical action. They also show that consumer-grade smartphone technology can detect subtle variations in natural hand interaction, opening the door for affect-aware interfaces and scalable studies of motor-affective behavior in naturalistic environments.
METHODS: Hand movements were recorded from 40 participants using an overhead smartphone camera (1080p; 30 fps), combined with MediaPipe and OpenCV. Participants were randomly assigned to either a Visual Modality (n = 20) or a Non-Visual Modality (n = 20) and were instructed to grasp five objects designed to evoke distinct emotional responses (fear, disgust, neutrality, and happiness). Kinematic measures, including grasping frame rate (frames/s) and hand velocity (px/frame), were extracted alongside self-reported emotional ratings.
RESULTS: Results revealed that motor behavior is not merely functional but emotionally reactive: threat-based objects (e.g., a spider) elicited significantly higher grasping frame rates, indicating more sustained interaction with these stimuli, potentially reflecting heightened monitoring or cautious engagement. A linear mixed-effects model identified a significant Modality × Object interaction, indicating that visual access influenced object-related effects selectively rather than uniformly. Notably, these affect-related changes were captured in grasping frame rate (a temporal-density measure) rather than in hand velocity.
DISCUSSION: The emotional properties of objects systematically modulate motor behavior during grasping. These findings help bridge the gap between affect and physical action. They also show that consumer-grade smartphone technology can detect subtle variations in natural hand interaction, opening the door for affect-aware interfaces and scalable studies of motor-affective behavior in naturalistic environments.