TY - JOUR
T1 - ClockRay
T2 - A Wrist-Rotation Based Technique for Occluded-Target Selection in Virtual Reality
AU - Wu, Huiyue
AU - Sun, Xiaoxuan
AU - Tu, Huawei
AU - Zhang, Xiaolong
N1 - Publisher Copyright:
© 2023 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
PY - 2024/7/1
Y1 - 2024/7/1
N2 - —Target selection is one of essential operation made available by interaction techniques in virtual reality (VR) environments. However, effectively positioning or selecting occluded objects is under-investigated in VR, especially in the context of high-density or a high-dimensional data visualization with VR. In this paper, we propose ClockRay, an occluded-object selection technique that can maximize the intrinsic human wrist rotation skills through the integration of emerging ray selection techniques in VR environments. We describe the design space of the ClockRay technique and then evaluate its performance in a series of user studies. Drawing on the experimental results, we discuss the benefits of ClockRay compared to two popular ray selection techniques – RayCursor and RayCasting. Our findings can inform the design of VR-based interactive visualization systems for high-density data.
AB - —Target selection is one of essential operation made available by interaction techniques in virtual reality (VR) environments. However, effectively positioning or selecting occluded objects is under-investigated in VR, especially in the context of high-density or a high-dimensional data visualization with VR. In this paper, we propose ClockRay, an occluded-object selection technique that can maximize the intrinsic human wrist rotation skills through the integration of emerging ray selection techniques in VR environments. We describe the design space of the ClockRay technique and then evaluate its performance in a series of user studies. Drawing on the experimental results, we discuss the benefits of ClockRay compared to two popular ray selection techniques – RayCursor and RayCasting. Our findings can inform the design of VR-based interactive visualization systems for high-density data.
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U2 - 10.1109/TVCG.2023.3239951
DO - 10.1109/TVCG.2023.3239951
M3 - Article
C2 - 37022075
AN - SCOPUS:85148415964
SN - 1077-2626
VL - 30
SP - 3767
EP - 3778
JO - IEEE Transactions on Visualization and Computer Graphics
JF - IEEE Transactions on Visualization and Computer Graphics
IS - 7
ER -