research-article

Tilt techniques: investigating the dexterity of wrist-based input

Authors:

Sean Gustafson,

Sriram SubramanianAuthors Info & Claims

CHI '09: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 1943 - 1952

https://doi.org/10.1145/1518701.1518997

Published: 04 April 2009 Publication History

Abstract

Most studies on tilt based interaction can be classified as point-designs that demonstrate the utility of wrist-tilt as an input medium; tilt parameters are tailored to suit the specific interaction at hand. In this paper, we systematically analyze the design space of wrist-based interactions and focus on the level of control possible with the wrist. In a first study, we investigate the various factors that can influence tilt control, separately along the three axes of wrist movement: flexion/extension, pronation/supination, and ulnar/radial deviation. Results show that users can control comfortably at least 16 levels on the pronation/supination axis and that using a quadratic mapping function for discretization of tilt space significantly improves user performance across all tilt axes. We discuss the findings of our results in the context of several interaction techniques and identify several general design recommendations.

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References

[1]

Bowman, D., Wingrave, C., Campbell, J., Ly, V. and Rhoton,C. (2002). Novel uses of pinch gloves for virtual environment interaction techniques. Virtual Reality, 6(3), 122--129.

[2]

Bartlett, J.F. (2000) Rock 'n' Scroll is here to stay. Computer Graphics and Applications, 20(3), 40--45.

Digital Library

[3]

Crossan, A. and Murray-Smith, R. (2004) Variability in Wrist-Tilt Accelerometer Based Gesture Interfaces. Proc. MobileHCI '04, 144--155.

[4]

Crossan, A. Williamson, J., Brewster, S. and Murray-Smith, R. (2008) Wrist rotation for interaction in mobile contexts. Proc. MobileHCI '08, 435--438.

Digital Library

[5]

Eslambolchilar, P. and Murray-Smith, R. (2004) Tilt-based automatic zooming and scaling in mobile devices - a state-space implementation. Proc. MobileHCI '04, 120--131.

[6]

Grandjean, E. (1969) Fitting the task to the man: an ergonomic approach. Taylor and Francis, p. 372.

[7]

Harrison, B. L., Fishkin, K. P., Gujar, A., Mochon, C. and Want, R. (1998) Squeeze me, hold me, tilt me! An exploration of manipulative user interfaces. Proc. CHI '98, 17--24.

Digital Library

[8]

Hinckley, K., Pierce, J., Sinclair, M. and Horvitz, E. (2000) Sensing techniques for mobile interaction. Proc. UIST '00, 91--100.

Digital Library

[9]

Lee, H., Khandelwal, M. and Mazalek, A. (2007) Tilting table: a movable screen. Proc. TEI '07, 93--96.

Digital Library

[10]

MacKay, B., Dearman, D., Inkpen, K. and Watters, C. (2005) Walk 'n scroll: a comparison of software-based navigation techniques for different levels of mobility. Proc. MobileHCI '05, 183--190.

Digital Library

[11]

NASA (1995) NASA-STD-3000 Man-Systems Integration Standards. Rev B.

[12]

Oakley, I. and O'Modhrain, M. (2005). Tilt to scroll: Evaluating a motion based vibrotactile mobile interface, Proc. WHC '05, 40--49.

Digital Library

[13]

Oakley, I. and Park, J. (2007) A motion-based marking menu system. CHI '07 Extended Abstracts, 2597--2602.

Digital Library

[14]

Partridge, K., Chatterjee, S., Sazawal, V., Borriello, G. and Want, R. (2002) TiltType: Accelerometer-supported text entry for very small devices. Proc. UIST '02, 201--204.

Digital Library

[15]

Poupyrev, I., Maruyama, S. and Rekimoto, J. (2002) Ambient touch: Designing tactile interfaces for handheld devices. Proc. UIST '02, 51--60.

Digital Library

[16]

Ramos, G., Boulos, M. and Balakrishnan, R., (2004) Pressure widgets. Proc. CHI '04, 487--494.

Digital Library

[17]

Rath, M. and Rohs, M. (2006) Explorations in sound for tilting-based interfaces. Proc. ICMI '06, 295--301.

Digital Library

[18]

Rekimoto, J. (1996) Tilting operations for small screen interfaces. Proc. UIST '96, 167--168.

Digital Library

[19]

Shi, K., Irani, P., Gustafson, S. and Subramanian, S. (2008) PressureFish: a method to improve control of discrete pressure-based input. Proc. CHI '08, 1295--1298.

Digital Library

[20]

Tian, F., Ao, X., Wang, H., Setlur, V. and Dai, G. (2007) The tilt cursor: enhancing stimulus-response compatibility by providing 3D orientation cue of pen. Proc. CHI '07, 303--306.

Digital Library

[21]

Tian, F., Xu, L., Wang, H., Zhang, X., Liu, Y., Setlur, V. and Dai, G. (2008) Tilt menu: using the 3D orientation information of pen devices to extend the selection capability of pen-based user interfaces. Proc. CHI '08, 1371--1380.

Digital Library

[22]

Weberg, L., Brange, T. and Hansson, Å. W. (2001) A piece of butter on the PDA display. CHI '01 Extended Abstracts, 435--436.

Digital Library

[23]

Wigdor, D. and Balakrishnan, R. (2003) TiltText: Using tilt for text input to mobile phones. Proc. UIST '03, 81--90

Digital Library

Cited By

Yu DCibulskis MMortensen EChristensen MBergström J(2024)Metrics of Motor Learning for Analyzing Movement Mapping in Virtual RealityProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642354(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642354
Wu HSun XTu HZhang X(2024)ClockRay: A Wrist-Rotation Based Technique for Occluded-Target Selection in Virtual RealityIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.323995130:7(3767-3778)Online publication date: Jul-2024
https://doi.org/10.1109/TVCG.2023.3239951
Myers B(2024)Pick, Click, Flick!undefinedOnline publication date: 14-Mar-2024
Show More Cited By

Index Terms

Tilt techniques: investigating the dexterity of wrist-based input
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Touch screens

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cover image ACM Conferences

CHI '09: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

April 2009

2426 pages

ISBN:9781605582467

DOI:10.1145/1518701

General Chairs:
Dan R. Olsen
Brigham Young University
,
Richard B. Arthur
Brigham Young University
,
Program Chairs:
Ken Hinckley
Microsoft Research
,
Meredith Ringel Morris
Microsoft Research
,
Scott Hudson
Carnegie Mellon University
,
Saul Greenberg
University of Calgary

Copyright © 2009 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 04 April 2009

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CHI '09: CHI Conference on Human Factors in Computing Systems

April 4 - 9, 2009

MA, Boston, USA

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CHI '09 Paper Acceptance Rate 277 of 1,130 submissions, 25%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

Yu DCibulskis MMortensen EChristensen MBergström J(2024)Metrics of Motor Learning for Analyzing Movement Mapping in Virtual RealityProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642354(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642354
Wu HSun XTu HZhang X(2024)ClockRay: A Wrist-Rotation Based Technique for Occluded-Target Selection in Virtual RealityIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.323995130:7(3767-3778)Online publication date: Jul-2024
https://doi.org/10.1109/TVCG.2023.3239951
Myers B(2024)Pick, Click, Flick!undefinedOnline publication date: 14-Mar-2024
Chowdhury SDelamare WIrani PHasan K(2023)PAWS: Personalized Arm and Wrist Movements With Sensitivity Mappings for Controller-Free Locomotion in Virtual RealityProceedings of the ACM on Human-Computer Interaction10.1145/36042647:MHCI(1-21)Online publication date: 13-Sep-2023
https://dl.acm.org/doi/10.1145/3604264
Islam MBillah S(2023)SpaceX MagProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35962537:2(1-36)Online publication date: 12-Jun-2023
https://dl.acm.org/doi/10.1145/3596253
Yeh YMatulic FVogel D(2023)Phone Sleight of Hand: Finger-Based Dexterous Gestures for Physical Interaction with Mobile PhonesProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581121(1-19)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581121
Fashimpaur JKarlson AJonker TBenko HGupta A(2023)Investigating Wrist Deflection Scrolling Techniques for Extended RealityProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580870(1-16)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580870
Villarreal-Narvaez SSluÿters AVanderdonckt JMbaki Luzayisu E(2022)Theoretically-Defined vs. User-Defined Squeeze GesturesProceedings of the ACM on Human-Computer Interaction10.1145/35678056:ISS(73-102)Online publication date: 14-Nov-2022
https://dl.acm.org/doi/10.1145/3567805
Zhao KMulet JSorita COriola BSerrano MJouffrais C(2022)Remote Graphic-Based Teaching for Pupils with Visual Impairments: Understanding Current Practices and Co-designing an Accessible Tool with Special Education TeachersProceedings of the ACM on Human-Computer Interaction10.1145/35677336:ISS(538-567)Online publication date: 14-Nov-2022
https://dl.acm.org/doi/10.1145/3567733
Usuba HYamanaka SSato JMiyashita H(2022)Predicting Touch Accuracy for Rectangular Targets by Using One-Dimensional Task ResultsProceedings of the ACM on Human-Computer Interaction10.1145/35677326:ISS(525-537)Online publication date: 14-Nov-2022
https://dl.acm.org/doi/10.1145/3567732
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