I Am The Passenger: How Visual Motion Cues Can Influence Sickness For In-Car VR
- Submitting institution
-
University of Glasgow
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11-02019
- Type
- E - Conference contribution
- DOI
-
10.1145/3025453.3026046
- Title of conference / published proceedings
- CHI '17: CHI Conference on Human Factors in Computing Systems
- First page
- 5655
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- May
- Year of publication
- 2017
- URL
-
http://eprints.gla.ac.uk/133167/
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- 22
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- ORIGINALITY: The first research to empirically investigate VR application use in moving vehicles, using a highly novel on-road study for maximum ecological validity. Evaluated new techniques that systematically manipulate peripheral visual content to mitigate motion sickness, a critical barrier to widespread use of immersive media in future autonomous vehicles. SIGNIFICANCE: Paper was a foundation of Brewster’s new €2.5million ERC Advanced Grant (ref: 835197); published in ACM CHI, top publication venue in HCI and received an Honourable Mention Award (chosen from top 5% of papers). RIGOUR: Results give a first baseline of performance and allow the balancing of immersion and sickness.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -