Sony Computer Science Laboratories, Inc., Tokyo, 141-0022, Japan.
Okinawa Institute of Science and Technology Graduate University, Okinawa, 904-0412, Japan.
Sci Rep. 2024 Jun 7;14(1):13090. doi: 10.1038/s41598-024-63233-2.
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.
人脸识别是自我形象和社交互动的关键方面。以前的研究集中在静态图像上，以探索自我人脸识别的边界。然而，我们的研究调查了涉及运动-视觉同步的情况下人脸识别的动态。我们首先验证了我们的用于自我人脸识别的变形人脸度量。然后，我们使用最先进的视频处理技术在面部运动期间进行实时面部身份变形，进行了一项实验。我们在三种条件下检查了自我人脸识别的边界：同步、异步和静态面部运动。我们的发现表明，与静态图像相比，参与者用移动的面部图像识别出更窄的自我面部边界，而同步和异步运动之间没有显著差异。变形的方向一致地偏向于被识别的自我面部边界。这些结果表明，虽然面部的运动信息对于自我人脸识别至关重要，但它并不依赖于运动同步，并且对面部运动的代理权感不会影响面部身份判断。我们的方法为探索“行动中的自我面部边界”提供了一种新方法，可以独立地检查运动和身份。
