Object manipulation in Virtual Reality under increasing levels of translational gain
Wilson, Graham and McGill, Mark and Jamieson, Matthew and Williamson, Julie R. and Brewster, Stephen A.; (2018) Object manipulation in Virtual Reality under increasing levels of translational gain. In: CHI 2018 - Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. Conference on Human Factors in Computing Systems - Proceedings . ACM, CAN, pp. 1-13. ISBN 9781450356213 (https://doi.org/10.1145/3173574.3173673)
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Abstract
Room-scale Virtual Reality (VR) has become an affordable consumer reality, with applications ranging from entertainment to productivity. However, the limited physical space available for room-scale VR in the typical home or office environment poses a significant problem. To solve this, physical spaces can be extended by amplifying the mapping of physical to virtual movement (translational gain). Although amplified movement has been used since the earliest days of VR, little is known about how it influences reach-based interactions with virtual objects, now a standard feature of consumer VR. Consequently, this paper explores the picking and placing of virtual objects in VR for the first time, with translational gains of between 1x (a one-to-one mapping of a 3.5m∗3.5m virtual space to the same sized physical space) and 3x (10.5m∗10.5m virtual mapped to 3.5m∗3.5m physical). Results show that reaching accuracy is maintained for up to 2x gain, however going beyond this diminishes accuracy and increases simulator sickness and perceived workload. We suggest gain levels of 1.5x to 1.75x can be utilized without compromising the usability of a VR task, significantly expanding the bounds of interactive room-scale VR.
ORCID iDs
Wilson, Graham ORCID: https://orcid.org/0000-0003-2664-1634, McGill, Mark, Jamieson, Matthew, Williamson, Julie R. and Brewster, Stephen A.;-
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Item type: Book Section ID code: 73149 Dates: DateEvent20 April 2018Published18 January 2018AcceptedSubjects: Science > Mathematics > Electronic computers. Computer science Department: Faculty of Science > Computer and Information Sciences Depositing user: Pure Administrator Date deposited: 09 Jul 2020 14:05 Last modified: 21 Dec 2024 01:06 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/73149