ArticlePloS one2020
Measuring recognition of body changes over time: A human-computer interaction tool using dynamic morphing and body ownership illusion.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Impact of Personalized Avatars and Motion Synchrony on Embodiment and Users' Subjective Experience: Empirical Study.JMIR serious games · 2022Article
- The College Students' Oral English Education Strategy Using Human-Computer Interaction Simulation System From the Perspective of Educational Psychology.Frontiers in psychology · 2021Article
- Virtual body ownership and its consequences for implicit racial bias are dependent on social context.Royal Society open science · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
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Abstract
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.
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