Investigating the impact of motion visual synchrony on self-face recognition using real-time morphing
Abstract
Face recognition is a crucial aspect of self-image and social interactions. Previous studies have focused on static images to explore the boundary of self-face recognition. Our research, however, investigates the dynamics of face recognition in contexts involving motor-visual synchrony. We first validated our morphing face metrics for self-face recognition. We then conducted an experiment using state-of-the-art video processing techniques for real-time face identity morphing during facial movement. We examined self-face recognition boundaries under three conditions: synchronous, asynchronous, and static facial movements. Our findings revealed that participants recognized a narrower self-face boundary with moving facial images compared to static ones, with no significant differences between synchronous and asynchronous movements. The direction of morphing consistently biased the recognized self-face boundary. These results suggest that while motor information of the face is vital for self-face recognition, it does not rely on movement synchronization, and the sense of agency over facial movements does not affect facial identity judgment. Our methodology offers a new approach to exploring the ‘self-face boundary in action’, allowing for an independent examination of motion and identity.
Publication
Kasahara, Shunichi, Nanako Kumasaki, and Kye Shimizu. 2024. “Investigating the Impact of Motion Visual Synchrony on Self Face Recognition Using Real Time Morphing.” Scientific Reports 14 (1): 13090.
https://www.nature.com/articles/s41598-024-63233-2
Cybernetic Humanity 