Department of Computer Science, Hanyang University, Seoul, Republic of Korea.
Department of Psychology, Duksung Women's University, Seoul, Republic of Korea.
PLoS One. 2020 Sep 18;15(9):e0239322. doi: 10.1371/journal.pone.0239322. eCollection 2020.
Measuring body image is crucial at both personal and social levels. Previous studies have attempted to quantitatively measure body image but methods for measuring body change recognition over time have not yet been established. The present study proposes a novel human-computer interaction technique using dynamic morphing and body ownership illusion, and we conducted a user study to investigate how body ownership illusion and gender would affect to body change recognition. The results showed that a participant's body change recognition was weak when the body ownership illusion was strong. In addition, female participants were less sensitive than male participants. With our proposed technique, we demonstrated that we were able to quantitatively measure body change recognition and our empirical data indicated that body change recognition varied depending on body ownership illusion and gender, suggesting that our methodology could not only be used in future body image studies but also in eating disorder treatments.
衡量身体意象在个人和社会层面都至关重要。之前的研究试图对身体意象进行定量测量，但尚未建立随时间变化的身体变化识别的测量方法。本研究提出了一种新的人机交互技术，使用动态变形和身体所有权错觉，并进行了一项用户研究，以调查身体所有权错觉和性别如何影响身体变化识别。结果表明，当身体所有权错觉强烈时，参与者的身体变化识别较弱。此外，女性参与者的敏感性低于男性参与者。通过我们提出的技术，我们证明我们能够定量测量身体变化识别，我们的实证数据表明，身体变化识别取决于身体所有权错觉和性别，这表明我们的方法不仅可以用于未来的身体意象研究，还可以用于饮食失调治疗。
