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

Marie Luisa Fiedler, Mario Botsch, Carolin Wienrich, Marc Erich Latoschik
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Abstract

This paper investigates if and how self-similarity and having motor control impact sense of embodiment, self-identification, and body weight perception in Augmented Reality (AR). We conducted a 2x2 mixed design experiment involving 60 participants who interacted with either synchronously moving virtual humans or independently moving ones, each with self-similar or generic appearances, across two consecutive AR sessions. Participants evaluated their sense of embodiment, self-identification, and body weight perception of the virtual human. Our results show that self-similarity significantly enhanced sense of embodiment, self-identification, and the accuracy of body weight estimates with the virtual human. However, the effects of having motor control over the virtual human movements were notably weaker in these measures than in similar VR studies. Further analysis indicated that not only the virtual human itself but also the participants' body weight, self-esteem, and body shape concerns predict body weight estimates across all conditions. Our work advances the understanding of virtual human body weight perception in AR systems, emphasizing the importance of factors such as coherence with the real-world environment.

本文研究了自我相似性和运动控制是否以及如何影响增强现实(AR)中的体现感、自我认同和体重感知。我们进行了一项 2x2 混合设计实验,60 名参与者在两个连续的 AR 会话中与同步移动的虚拟人或独立移动的虚拟人进行了互动,每个虚拟人都有自我相似或一般的外观。参与者评估了他们对虚拟人的体现感、自我认同感和体重感知。我们的结果表明,自相似性显著增强了虚拟人的体现感、自我认同和体重估计的准确性。然而,与类似的虚拟现实研究相比,对虚拟人动作进行运动控制的效果明显较弱。进一步的分析表明,在所有条件下,不仅虚拟人本身,而且参与者的体重、自尊和对体形的关注都能预测体重估计值。我们的研究加深了人们对 AR 系统中虚拟人体重感知的理解,强调了与真实世界环境协调一致等因素的重要性。
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