Medeiros, D, Anjos, RD, Pantidi, N et al. (4 more authors) (2021) Promoting Reality Awareness in Virtual Reality through Proxemics. In: 2021 IEEE Virtual Reality and 3D User Interfaces (VR). 2021 IEEE Virtual Reality and 3D User Interfaces (VR), 27 Mar - 01 Apr 2021 IEEE , pp. 21-30.
Abstract
Head-Mounted Virtual reality (VR) systems provide full-immersive experiences to users and completely isolate them from the outside world, placing them in unsafe situations. Existing research proposed different alert-based solutions to address this. Our work builds on these studies on notification systems for VR environments from a different perspective. We focus on: (i) exploring alert systems to notify VR users about non-immersed bystanders' in socially related, non-critical interaction contexts; (ii) understanding how best to provide awareness of non-immersed bystanders while maintaining presence and immersion within the Virtual Environment(VE). To this end, we developed single and combined alert cues - leveraging proxemics, perception channels, and push/pull approaches and evaluated those via two user studies. Our findings indicate a strong preference towards maintaining immersion and combining audio and visual cues, push and pull notification techniques that evolve dynamically based on proximity.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Notifications, Virtual Reality, Human Computer Interaction;Context Awareness, Reality Awareness |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 19 Nov 2021 10:59 |
Last Modified: | 25 Nov 2021 02:16 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/vr50410.2021.00022 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:180010 |