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

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

doi:10.1145/3313831.3376698

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

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

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

26 Citations (SciVal)

318 Downloads (Pure)

Abstract

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.

Original language	English
Title of host publication	CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
Publisher	Association for Computing Machinery
Pages	1–13
ISBN (Electronic)	9781450367080
ISBN (Print)	9781450367080
DOIs	https://doi.org/10.1145/3313831.3376698
Publication status	Published - 25 Apr 2020

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings

Bibliographical note

Funding Information:
We thank Luyao Shen for help with figure drawing and video editing, Zongqi Zhang for help with conducting the experiments, Sinong Zhan for help with the software implementation, the members of IEL ISCAS, and the reviewers for their constructive feedback. This work was supported by the National Key R&D Program of China (Grant No. 2016YFB1001402), the National Natural Science Foundation of China (Grant No. 61802379, 61872164) and Youth Innovation Promotion Association CAS.

Publisher Copyright:
© 2020 ACM.

Keywords

finger and wrist dexterity
grip postures
handheld controller
pen input
spatial target selection
virtual reality

ASJC Scopus subject areas

Computer Graphics and Computer-Aided Design
Human-Computer Interaction
Software

Access to Document

10.1145/3313831.3376698

CHI20_GetAGrip-camera-ready
© ACM, 2020. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing SystemsApril 2020 Pages 1–13https://doi.org/10.1145/3313831.3376698
Accepted author manuscript, 6.55 MB

Cite this

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 (pp. 1–13). Article 3376698 (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery. https://doi.org/10.1145/3313831.3376698

Get a Grip: Evaluating Grip Gestures for VR Input Using a Lightweight Pen. / Li, Nianlong; Han, Teng; Tian, Feng et al.
CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2020. p. 1–13 3376698 (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

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

Li N, Han T, Tian F, Huang J, Sun M, Irani P et al. 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. Association for Computing Machinery. 2020. p. 1–13. 3376698. (Conference on Human Factors in Computing Systems - Proceedings). doi: 10.1145/3313831.3376698

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

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

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