Investigating Object Translation in Room-scale, Handheld Virtual Reality

被引:0
作者
Enriquez, Daniel [1 ]
Moon, Hayoun [1 ]
Bowman, Doug A. [1 ]
Jeon, Myounghoon [1 ]
Lee, Sang Won [1 ]
机构
[1] Virginia Tech, Ctr Human Comp Interact, Blacksburg, VA 24061 USA
基金
美国国家科学基金会;
关键词
Three-dimensional displays; Resists; Performance evaluation; Usability; Virtual environments; Predictive models; Moon; Virtual Reality; Augmented Reality; Handheld VR; 3D manipulation; INFORMATION CAPACITY; AUGMENTED REALITY; FITTS LAW;
D O I
10.1109/TVCG.2024.3456208
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Handheld devices have become an inclusive alternative to head-mounted displays in virtual reality (VR) environments, enhancing accessibility and allowing cross-device collaboration. Object manipulation techniques in 3D space with handheld devices, such as those in handheld augmented reality (AR), have been typically evaluated in table-top scale and we currently lack an understanding of how these techniques perform in larger scale environments. We conducted two studies, each with 30 participants, to investigate how different techniques impact usability and performance for room-scale handheld VR object translations. We compared three translation techniques that are similar to commonly studied techniques in handheld AR: 3DSlide, VirtualGrasp, and Joystick. We also examined the effects of target size, target distance, and user mobility conditions (stationary vs. moving). Results indicated that the Joystick technique, which allowed translation in relation to the user's perspective, was the fastest and most preferred, without difference in precision. Our findings provide insights for designing room-scale handheld VR systems, with potential implications for mixed reality systems involving handheld devices.
引用
收藏
页码:7064 / 7074
页数:11
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