Inverse kinematics for full-body self representation in VR-based cognitive rehabilitation

Wagnerberger, Larissa; Runde, Detlef; Lafci, Mustafa Tevfik; Przewozny, David; Bosse, Sebastian; Chojecki, Paul

doi:10.1109/ism52913.2021.00029

Cited by 2 publications

(1 citation statement)

References 29 publications

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“…FIK: This condition uses the VRIK solver from RootMotion's Fi-nalIK package, which combines analytic and heuristic IK solvers for generating the full-body avatar animation. With the same input, FIK produces higher-quality results than UIK because each limb is not solved independently from one end-effector, but rather from an analysis on the user pose from several end-effectors [35]. For instance, the spine is solved considering the position of the HMD and two hand-held controllers, and the elbows use the position of the hands relative to the chest joint to determine the orientation.…”

Section: Experimental Conditionsmentioning

confidence: 99%

Animation Fidelity in Self-Avatars: Impact on User Performance and Sense of Agency

Yun

Luis

Andújar

et al. 2023

2023 IEEE Conference Virtual Reality and 3D User Interfaces (VR)

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Section: Experimental Conditionsmentioning

confidence: 99%

Animation Fidelity in Self-Avatars: Impact on User Performance and Sense of Agency

Yun

Luis

Andújar

et al. 2023

2023 IEEE Conference Virtual Reality and 3D User Interfaces (VR)

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Social VR design features and experiential outcomes: narrative review and relationship map for dyadic agent conversations

Mulvaney,

Rooney,

Friehs

et al. 2024

Virtual Reality

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The application of virtual reality to the study of conversation and social interaction is a relatively new field of study. While the affordances of VR in the domain compared to traditional methods are promising, the current state of the field is plagued by a lack of methodological standards and shared understanding of how design features of the immersive experience impact participants. In order to address this, this paper develops a relationship map between design features and experiential outcomes, along with expectations for how those features interact with each other. Based on the results of a narrative review drawing from diverse fields, this relationship map focuses on dyadic conversations with agents. The experiential outcomes chosen include presence & engagement, psychological discomfort, and simulator sickness. The relevant design features contained in the framework include scenario agency, visual fidelity, agent automation, environmental context, and audio features. We conclude by discussing the findings of the review and framework, such as the multimodal nature of social VR being highlighted, and the importance of environmental context, and lastly provide recommendations for future research in social VR.

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Inverse kinematics for full-body self representation in VR-based cognitive rehabilitation

Cited by 2 publications

References 29 publications

Animation Fidelity in Self-Avatars: Impact on User Performance and Sense of Agency

Animation Fidelity in Self-Avatars: Impact on User Performance and Sense of Agency

Social VR design features and experiential outcomes: narrative review and relationship map for dyadic agent conversations

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