Effects of virtual-avatar motion-synchrony levels on full-body interaction

Choi, Changyeol; Jun, Joohee; Heo, Jiwoong; Kim, Kwanguk

doi:10.1145/3297280.3297346

Cited by 11 publications

(11 citation statements)

References 21 publications

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“…They utilized a OptiTrack Motion Capturing System [61] with six cameras for real-time motion tracking and retargeting. The experimental results indicated the effectiveness of these approaches [59,60] for training and testing purposes, respectively. However, the Kinect or motion capturing system cannot extract the facial features effectively because of the limited resolution of commercial motion cameras.…”

Section: Online Motion Retargetingmentioning

confidence: 85%

“…This limitation [58], is solved in [59] and [60] by considering various motions to have a more reliable interactive environment. Specifically, in, [59] Lugrin et al suggested a strategy to evaluate the impact of different types of avatars on the performance of fitness training.…”

Section: Online Motion Retargetingmentioning

confidence: 99%

“…They exploited the Microsoft Kinect to capture the motion data in real-time and transfer it to human-like rigged avatars. As another example, in [60] Choi et al evaluated the impact of different types of motions on users' feelings of body ownership and presence. They utilized a OptiTrack Motion Capturing System [61] with six cameras for real-time motion tracking and retargeting.…”

Section: Online Motion Retargetingmentioning

confidence: 99%

“…To tackle the shortage of facial features [59,60], in [62] Roth et al designed an immersive environment that uses a tracking system (OptiTrack sensors [61]), an eye gaze tracking and facial expression tracking (Faceshift software) to evaluate users' social interactions. The proposed strategy offers various interactive features that help users' immersion in the environment based on a stereoscopic projected display.…”

Section: Online Motion Retargetingmentioning

confidence: 99%

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A Survey on Applications of Digital Human Avatars toward Virtual Co-presence

Korban¹,

Li²

2022

Preprint

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This paper investigates different approaches to build and use digital human avatars toward interactive Virtual Co-presence (VCP) environments. We evaluate the evolution of technologies for creating VCP environments and how the advancement in Artificial Intelligence (AI) and Computer Graphics affect the quality of VCP environments. We categorize different methods in the literature based on their applications and methodology and compare various groups and strategies based on their applications, contributions, and limitations. We also have a brief discussion about the approaches that other forms of human representation, rather than digital human avatars, have been utilized in VCP environments. Our goal is to fill the gap in the research domain where there is a lack of literature review investigating different approaches for creating avatar-based VCP environments. We hope this study will be useful for future research involving human representation in VCP or Virtual Reality (VR) environments. To the best of our knowledge, it is the first survey research that investigates avatar-based VCP environments. Specifically, the categorization methodology suggested in this paper for avatar-based methods is new.

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Section: Online Motion Retargetingmentioning

confidence: 85%

Section: Online Motion Retargetingmentioning

confidence: 99%

Section: Online Motion Retargetingmentioning

confidence: 99%

Section: Online Motion Retargetingmentioning

confidence: 99%

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A Survey on Applications of Digital Human Avatars toward Virtual Co-presence

Korban¹,

Li²

2022

Preprint

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“…Lastly, the AMoS module was used to induce BOI levels by two motion synchrony levels (sync and async). Recently, Choi et al [45] attempted to use three synchrony levels and showed that there were significant differences in BOI, presence, and simulator sickness among those three levels. A future study measuring body change sensitivity with more levels of BOI would be of interest.…”

Section: Plos Onementioning

confidence: 99%

Measuring recognition of body changes over time: A human-computer interaction tool using dynamic morphing and body ownership illusion

Jung

Kim

2020

PLoS ONE

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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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Perception of Movement

Biele

2021

Studies in Computational Intelligence

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Effects of virtual-avatar motion-synchrony levels on full-body interaction

Cited by 11 publications

References 21 publications

A Survey on Applications of Digital Human Avatars toward Virtual Co-presence

A Survey on Applications of Digital Human Avatars toward Virtual Co-presence

Measuring recognition of body changes over time: A human-computer interaction tool using dynamic morphing and body ownership illusion

Perception of Movement

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