Get a Grip: Evaluating Grip Gestures for VR Input Using a Lightweight Pen

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Get a Grip: Evaluating Grip Gestures for VR Input Using a Lightweight Pen

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Li, Nianlong / Han, Teng / Tian, Feng / Huang, Jin / Sun, Minghui / Irani, Pourang / Alexander, Jason

The use of Virtual Reality (VR) in applications such as data analysis, artistic creation, and clinical settings requires high precision input. However, the current design of handheld controllers, where wrist rotation is the primary input approach, does not exploit the human fingers' capability for dexterous movements for high precision pointing and selection. To address this issue, we investigated the characteristics and potential of using a pen as a VR input device. We conducted two studies. The first examined which pen grip allowed the largest range of motion---we found a tripod grip at the rear end of the shaft met this criterion. The second study investigated target selection via 'poking' and ray-casting, where we found the pen grip outperformed the traditional wrist-based input in both cases. Finally, we demonstrate potential applications enabled by VR pen input and grip postures.

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Title :

Get a Grip: Evaluating Grip Gestures for VR Input Using a Lightweight Pen

Contributors:

Li, Nianlong (author) / Han, Teng (author) / Tian, Feng (author) / Huang, Jin (author) / Sun, Minghui (author) / Irani, Pourang (author) / Alexander, Jason (author)

Publication date :

2020-04-25

Remarks:

Li , N , Han , T , Tian , F , Huang , J , Sun , M , Irani , P & Alexander , J 2020 , Get a Grip: Evaluating Grip Gestures for VR Input Using a Lightweight Pen . in CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems . , 3376698 , Conference on Human Factors in Computing Systems - Proceedings , Association for Computing Machinery , pp. 1–13 . https://doi.org/10.1145/3313831.3376698

DOI :

https://doi.org/10.1145/3313831.3376698

Type of media :

Article (Journal)

Type of material :

Electronic Resource

Language :

English

Keywords :

finger and wrist dexterity , grip postures , handheld controller , pen input , spatial target selection , virtual reality , /dk/atira/pure/subjectarea/asjc/1700/1704 , name=Computer Graphics and Computer-Aided Design , /dk/atira/pure/subjectarea/asjc/1700/1709 , name=Human-Computer Interaction , /dk/atira/pure/subjectarea/asjc/1700/1712 , name=Software