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

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Get a Grip: Evaluating Grip Gestures for VR Input Using a Lightweight Pen. / Li, Nianlong; Han, Teng; Tian, Feng et al.
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. New York, NY, USA: Association for Computing Machinery (ACM), 2020. p. 1–13 569 (CHI ’20).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

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 Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems., 569, CHI ’20, Association for Computing Machinery (ACM), New York, NY, USA, pp. 1–13. https://doi.org/10.1145/3313831.3376698

APA

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 Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1–13). Article 569 (CHI ’20). Association for Computing Machinery (ACM). https://doi.org/10.1145/3313831.3376698

Vancouver

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 Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. New York, NY, USA: Association for Computing Machinery (ACM). 2020. p. 1–13. 569. (CHI ’20). doi: 10.1145/3313831.3376698

Author

Li, Nianlong ; Han, Teng ; Tian, Feng et al. / Get a Grip : Evaluating Grip Gestures for VR Input Using a Lightweight Pen. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. New York, NY, USA : Association for Computing Machinery (ACM), 2020. pp. 1–13 (CHI ’20).

Bibtex

@inproceedings{a44cbea147384febbb8bb21f77501c66,
title = "Get a Grip: Evaluating Grip Gestures for VR Input Using a Lightweight Pen",
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.",
keywords = "finger and wrist dexterity, grip postures, virtual reality, pen input, handheld controller, spatial target selection",
author = "Nianlong Li and Teng Han and Feng Tian and Jin Huang and Minghui Sun and Pourang Irani and Jason Alexander",
year = "2020",
month = apr,
day = "25",
doi = "10.1145/3313831.3376698",
language = "English",
isbn = "9781450367080",
series = "CHI {\textquoteright}20",
publisher = "Association for Computing Machinery (ACM)",
pages = "1–13",
booktitle = "Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems",

}

RIS

TY - GEN

T1 - Get a Grip

T2 - Evaluating Grip Gestures for VR Input Using a Lightweight Pen

AU - Li, Nianlong

AU - Han, Teng

AU - Tian, Feng

AU - Huang, Jin

AU - Sun, Minghui

AU - Irani, Pourang

AU - Alexander, Jason

PY - 2020/4/25

Y1 - 2020/4/25

N2 - 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.

AB - 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.

KW - finger and wrist dexterity

KW - grip postures

KW - virtual reality

KW - pen input

KW - handheld controller

KW - spatial target selection

U2 - 10.1145/3313831.3376698

DO - 10.1145/3313831.3376698

M3 - Conference contribution/Paper

SN - 9781450367080

T3 - CHI ’20

SP - 1

EP - 13

BT - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

PB - Association for Computing Machinery (ACM)

CY - New York, NY, USA

ER -