Ninja Hands: Using Many Hands to Improve Target Selection in VR
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Ninja Hands : Using Many Hands to Improve Target Selection in VR. / Schjerlund, Jonas; Hornbæk, Kasper; Bergström, Joanna.
CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2021. 130.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - Ninja Hands
T2 - CHI 2021 Virtual Conference on Human Factors in Computing Systems
AU - Schjerlund, Jonas
AU - Hornbæk, Kasper
AU - Bergström, Joanna
PY - 2021/5/7
Y1 - 2021/5/7
N2 - Selection and manipulation in virtual reality often happen using an avatar’s hands. However, objects outside the immediate reach require effort to select. We develop a target selection technique called Ninja Hands. It maps the movement of a single real hand to many virtual hands, decreasing the distance to targets. We evaluate Ninja Hands in two studies. The first study shows that compared to a single hand, 4 and 8 hands are significantly faster for selecting targets. The second study complements this finding by using a larger target layout with many distractors. We find no decrease in selection time across 8, 27, and 64 hands, but an increase in the time spent deciding which hand to use. Thereby, net movement time still decreases significantly. In both studies, the physical motion exerted also decreases significantly with more hands. We discuss how these findings can inform future implementations of the Ninja Hands technique.
AB - Selection and manipulation in virtual reality often happen using an avatar’s hands. However, objects outside the immediate reach require effort to select. We develop a target selection technique called Ninja Hands. It maps the movement of a single real hand to many virtual hands, decreasing the distance to targets. We evaluate Ninja Hands in two studies. The first study shows that compared to a single hand, 4 and 8 hands are significantly faster for selecting targets. The second study complements this finding by using a larger target layout with many distractors. We find no decrease in selection time across 8, 27, and 64 hands, but an increase in the time spent deciding which hand to use. Thereby, net movement time still decreases significantly. In both studies, the physical motion exerted also decreases significantly with more hands. We discuss how these findings can inform future implementations of the Ninja Hands technique.
U2 - 10.1145/3411764.3445759
DO - 10.1145/3411764.3445759
M3 - Article in proceedings
BT - CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 8 May 2021 through 13 May 2021
ER -
ID: 287611757