TY - GEN
T1 - Object manipulation in Virtual Reality under increasing levels of translational gain
AU - Wilson, Graham
AU - McGill, Mark
AU - Jamieson, Matthew
AU - Williamson, Julie R.
AU - Brewster, Stephen A.
PY - 2018/4/20
Y1 - 2018/4/20
N2 - 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.
AB - 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.
KW - Amplified movement
KW - Object manipulation
KW - Redirected walking
KW - Translational gain
KW - Virtual Reality
UR - http://eprints.gla.ac.uk/156144/
U2 - 10.1145/3173574.3173673
DO - 10.1145/3173574.3173673
M3 - Conference contribution book
AN - SCOPUS:85046942355
T3 - Conference on Human Factors in Computing Systems - Proceedings
SP - 1
EP - 13
BT - CHI 2018 - Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
CY - New York, NY.
T2 - 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018
Y2 - 21 April 2018 through 26 April 2018
ER -