1. Did I Hit the Door? Effects of Self-Avatars and Calibration in a Person-Plus-Virtual-Object System on Perceived Frontal Passability in VR
- Author
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Rohith Venkatakrishnan, Ayush Bhargava, Roshan Venkatakrishnan, Andrew Robb, Sabarish V. Babu, Kathryn M. Lucaites, Christopher C. Pagano, and Hannah Solini
- Subjects
Computer science ,Virtual Reality ,Kinesthetic learning ,Input device ,Virtual reality ,Object (computer science) ,Computer Graphics and Computer-Aided Design ,User-Computer Interface ,Virtual image ,Human–computer interaction ,Calibration ,Signal Processing ,Computer Graphics ,Humans ,Computer Vision and Pattern Recognition ,Size Perception ,Affordance ,Software ,Avatar - Abstract
The availability of new and improved display, tracking and input devices for Virtual Reality experiences has facilitated the use of partial and full body self-avatars in interaction with virtual objects in the environment. However, scaling the avatar to match the user's body dimensions remains to be a cumbersome process. Moreover, the effect of body-scaled self-avatars on size perception of virtual handheld objects and related action capabilities has been relatively unexplored. To this end, we present an empirical evaluation investigating the effect of the presence or absence of body-scaled self-avatars and visuo-motor calibration on frontal passability affordance judgments when interacting with virtual handheld objects. The self-avatar's dimensions were scaled to match the participant's eyeheight, arms length, shoulder width and body depth along the mid section. The results indicate that the presence of body-scaled self-avatars produce more realistic judgments of passability and aid the calibration process when interacting with virtual objects. Also, participants rely on the visual size of virtual objects to make judgments even though the kinesthetic and proprioceptive feedback of the object is missing or mismatched.
- Published
- 2022
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