Self-Similarity Beats Motor Control in Augmented Reality Body Weight Perception

This IEEE conference talk explores how self-similarity and motor control influence embodiment, self-identification, and body weight perception in Augmented Reality environments. Discover the findings from a 2x2 mixed design experiment involving 60 participants who interacted with virtual humans featuring either self-similar or generic appearances, with movements that were either synchronous or independent. Learn how the research revealed that self-similarity significantly enhances sense of embodiment, self-identification, and accuracy in weight estimation, while motor control effects were less pronounced than in comparable VR studies. The presentation also examines how participants' actual body weight, self-esteem, and body shape concerns influenced their weight estimates, providing deeper insights into AR body weight perception and highlighting the importance of real-world coherence in these experiences.