The impact of avatar-owner visual similarity on body ownership in immersive virtual reality

Dongsik Jo, Kangsoo Kim, Gregory F. Welch, Woojin Jeon, Yongwan Kim, Ki Hong Kim, Jeonghyun Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

In this paper we report on an investigation of the effects of a self-avatar's visual similarity to a user's actual appearance, on their perceptions of the avatar in an immersive virtual reality (IVR) experience. We conducted a user study to examine the participant's sense of body ownership, presence and visual realism under three levels of avatar-owner visual similarity: (L1) an avatar reconstructed from real imagery of the participant's appearance, (L2) a cartoon-like virtual avatar created by a 3D artist for each participant, where the avatar shoes and clothing mimic that of the participant, but using a low-fidelity model, and (L3) a cartoon-like virtual avatar with a pre-defined appearance for the shoes and clothing. Surprisingly, the results indicate that the participants generally exhibited the highest sense of body ownership and presence when inhabiting the cartoon-like virtual avatar mimicking the outfit of the participant (L2), despite the relatively low participant similarity. We present our experiment and main findings, also, discuss the potential impact of a self-avatar's visual differences on human perceptions in IVR.

Original languageEnglish
Title of host publicationProceedings - VRST 2017
Subtitle of host publication23rd ACM Conference on Virtual Reality Software and Technology
PublisherAssociation for Computing Machinery
VolumePart F131944
ISBN (Electronic)9781450355483
DOIs
Publication statusPublished - 2017 Nov 8
Externally publishedYes
Event23rd ACM Conference on Virtual Reality Software and Technology, VRST 2017 - Gothenburg, Sweden
Duration: 2017 Nov 82017 Nov 10

Other

Other23rd ACM Conference on Virtual Reality Software and Technology, VRST 2017
CountrySweden
CityGothenburg
Period17/11/817/11/10

Fingerprint

Virtual reality
Experiments

Keywords

  • Body ownership
  • HMD
  • Presence
  • Self-avatar
  • Virtual reality

ASJC Scopus subject areas

  • Software

Cite this

Jo, D., Kim, K., Welch, G. F., Jeon, W., Kim, Y., Kim, K. H., & Kim, J. (2017). The impact of avatar-owner visual similarity on body ownership in immersive virtual reality. In Proceedings - VRST 2017: 23rd ACM Conference on Virtual Reality Software and Technology (Vol. Part F131944). [a77] Association for Computing Machinery. https://doi.org/10.1145/3139131.3141214

The impact of avatar-owner visual similarity on body ownership in immersive virtual reality. / Jo, Dongsik; Kim, Kangsoo; Welch, Gregory F.; Jeon, Woojin; Kim, Yongwan; Kim, Ki Hong; Kim, Jeonghyun.

Proceedings - VRST 2017: 23rd ACM Conference on Virtual Reality Software and Technology. Vol. Part F131944 Association for Computing Machinery, 2017. a77.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Jo, D, Kim, K, Welch, GF, Jeon, W, Kim, Y, Kim, KH & Kim, J 2017, The impact of avatar-owner visual similarity on body ownership in immersive virtual reality. in Proceedings - VRST 2017: 23rd ACM Conference on Virtual Reality Software and Technology. vol. Part F131944, a77, Association for Computing Machinery, 23rd ACM Conference on Virtual Reality Software and Technology, VRST 2017, Gothenburg, Sweden, 17/11/8. https://doi.org/10.1145/3139131.3141214
Jo D, Kim K, Welch GF, Jeon W, Kim Y, Kim KH et al. The impact of avatar-owner visual similarity on body ownership in immersive virtual reality. In Proceedings - VRST 2017: 23rd ACM Conference on Virtual Reality Software and Technology. Vol. Part F131944. Association for Computing Machinery. 2017. a77 https://doi.org/10.1145/3139131.3141214
Jo, Dongsik ; Kim, Kangsoo ; Welch, Gregory F. ; Jeon, Woojin ; Kim, Yongwan ; Kim, Ki Hong ; Kim, Jeonghyun. / The impact of avatar-owner visual similarity on body ownership in immersive virtual reality. Proceedings - VRST 2017: 23rd ACM Conference on Virtual Reality Software and Technology. Vol. Part F131944 Association for Computing Machinery, 2017.
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