TY - GEN
T1 - Evaluating the minimum jerk motion model for redirected reach in virtual reality
AU - Gonzalez, Eric J.
AU - Abtahi, Parastoo
AU - Follmer, Sean
N1 - Publisher Copyright:
© 2019 Copyright is held by the owner/author(s).
PY - 2019/10/14
Y1 - 2019/10/14
N2 - Reach redirection in virtual reality uses spatial distortion to augment interaction with passive props as well as active haptic devices. For such dynamic physical systems, motion modeling is needed to update the interface based on users' predicted targets & trajectories. However, it remains unclear how well standard predictive models hold under redirection. In this work we evaluate one such commonly used model, the Minimum-Jerk (MJ) model, during redirected reach at various lateral offsets up to 16cm. Results show that larger redirection significantly worsens MJ model fit, suggesting that models should be adjusted for reaches with considerable redirection. Predicted arrival times, based on fitting an MJ model on the first half of reach data, led to an average error of -0.29s for redirected reach, compared to -0.03s for normal reach.
AB - Reach redirection in virtual reality uses spatial distortion to augment interaction with passive props as well as active haptic devices. For such dynamic physical systems, motion modeling is needed to update the interface based on users' predicted targets & trajectories. However, it remains unclear how well standard predictive models hold under redirection. In this work we evaluate one such commonly used model, the Minimum-Jerk (MJ) model, during redirected reach at various lateral offsets up to 16cm. Results show that larger redirection significantly worsens MJ model fit, suggesting that models should be adjusted for reaches with considerable redirection. Predicted arrival times, based on fitting an MJ model on the first half of reach data, led to an average error of -0.29s for redirected reach, compared to -0.03s for normal reach.
KW - Haptics
KW - Illusion
KW - Perception
KW - Retargeting
KW - Virtual reality
UR - http://www.scopus.com/inward/record.url?scp=85074867826&partnerID=8YFLogxK
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U2 - 10.1145/3332167.3357096
DO - 10.1145/3332167.3357096
M3 - Conference contribution
AN - SCOPUS:85074867826
T3 - UIST 2019 Adjunct - Adjunct Publication of the 32nd Annual ACM Symposium on User Interface Software and Technology
SP - 4
EP - 6
BT - UIST 2019 Adjunct - Adjunct Publication of the 32nd Annual ACM Symposium on User Interface Software and Technology
PB - Association for Computing Machinery, Inc
T2 - 32nd Annual ACM Symposium on User Interface Software and Technology, UIST 2019
Y2 - 20 October 2019 through 23 October 2019
ER -