The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
ShareVR: Enabling Co-Located Experiences for Virtual Reality between HMD and Non-HMD Users
Abstract
Virtual reality (VR) head-mounted displays (HMD) allow for a highly immersive experience and are currently becoming part of the living room entertainment. Current VR systems focus mainly on increasing the immersion and enjoyment for the user wearing the HMD (HMD user), resulting in all the bystanders (Non-HMD users) being excluded from the experience. We propose ShareVR, a proof-of-concept prototype using floor projection and mobile displays in combination with positional tracking to visualize the virtual world for the Non-HMD user, enabling them to interact with the HMD user and become part of the VR experience. We designed and implemented ShareVR based on the insights of an initial online survey (n=48) with early adopters of VR HMDs. We ran a user study (n=16) comparing ShareVRto a baseline condition showing how the interaction using ShareVR led to an increase of enjoyment, presence and social interaction. In a last step we implemented several experiences for ShareVR, exploring its design space and giving insights for designers of co-located asymmetric VR experiences.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Measuring emotion: The self-assessment manikin and the semantic differential
Bradley, M. M., & Lang, P. J. (1994) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/0005-7916(94)90063-9 · Cited by 9,538
Virtual Reality: How Much Immersion Is Enough?
Bowman, D. A., & McMahan, R. P. (2007) · Computer · doi:10.1109/mc.2007.257 · Cited by 1,375
Cited by
Hajahmadi, S., & Marfia, G. (2023) · Sensors · doi:10.3390/s23042148 · Cited by 11
Metadata
- Authors
- Gugenheimer, J., Stemasov, E., Frommel, J., & Rukzio, E.
- Venue
- Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2017-05-02
- Pages
- 4021-4033
- OpenAlex
- W2611579020
- Cited by
- 306
- References
- 2
- FWCI
- 21.06
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
