research-article

Pressure-based menu selection for mobile devices

Authors:

Stephen A. BrewsterAuthors Info & Claims

MobileHCI '10: Proceedings of the 12th international conference on Human computer interaction with mobile devices and services

Pages 181 - 190

https://doi.org/10.1145/1851600.1851631

Published: 07 September 2010 Publication History

Abstract

Despite many successes in desktop applications, little work has looked at the use of pressure input on mobile devices and the different issues associated with mobile interactions e.g. non-visual feedback. This study examined pressure input on a mobile device using a single Force Sensing Resistor (FSR) with linearised output as a means of target selection within a menu, where target menu items varied in size and location along the z-axis. Comparing visual and audio feedback, results showed that, overall, eyes-free pressure interaction reached a mean level of 74% accuracy. With visual feedback mean accuracy reached 85%. Participants could accurately distinguish up to 10 pressure levels when given adequate feedback indicating a high level of control.

References

[1]

Scott, J., Brown, L. M. and Molloy, M. Mobile Device Interaction with Force Sensing. IEEE Pervasive '09, 1--18.

Digital Library

[2]

Brewster, S. and Hughes, M. Pressure-Based Text Entry for Mobile Devices. MobileHCI 2009.

Digital Library

[3]

Shi, K., Subramanian, S. and Irani, P. PressureMove: Pressure Input with Mouse Movement. IFIP INTERACT 2009.

Digital Library

[4]

Dietz, P., Eidelson, B., Westhues, J. and Bathiche, S. A practical pressure sensitive computer keyboard. Proceedings of ACM UIST 2009.

Digital Library

[5]

Srinivasan, M. and Chen, J. Human performance in controlling normal forces of contact with rigid objects. Winter Annual Meeting of ASME 1993.

[6]

Pang, X., Tan, H. and Durlach, N. Manual discrimination of force using active finger motion. Perception & Psychophysics, 49(6), 531--540.

[7]

Tan, H., Pang, X. and Durlach, N. Manual resolution of length, force, and compliance. Advances in Robotics, 42.

[8]

Johansson, R. and Westling, G. Roles of glabrous skin receptors and sensorimotor memory in automatic control of precision grip when lifting rougher or more slippery objects. Experimental Brain Research, 56, 550--564.

[9]

Ramos, G., Boulos, M. and Balakrishnan, R. Pressure widgets. Proceedings of CHI 2004, Vienna, Austria.

Digital Library

[10]

Cechanowicz, J., Irani, P. and Subramanian, S. Augmenting the mouse with pressure sensitive input. Proceedings of CHI 2007, San Jose, California.

Digital Library

[11]

Shi, K., Irani, P., Gustafson, S. and Subramanian, S. PressureFish: a method to improve control of discrete pressure-based input. Proceedings of CHI 2008,Florence,Italy.

Digital Library

[12]

Rekimoto, J. and Schwesig, C. PreSenseII: bi-directional touch and pressure sensing interactions with tactile feedback. Proceedings of CHI 2006, Montreal, Quebec.

Digital Library

[13]

Ramos, G. and Balakrishnan, R. Zliding: fluid zooming and sliding for high precision parameter manipulation. Proceedings of ACM UIST 2005.

Digital Library

[14]

McCallum, D., Mak, E., Irani, P. and Subramanian, S. PressureText: pressure input for mobile phone text entry. Proceedings of CHI 2009, Boston, MA.

Digital Library

[15]

Mizobuchi, S., Terasaki, S., Keski-Jaskari, T., Nousiainen, J., Ryynanen, M. and Silfverberg, M. Making an impression: force-controlled pen input for handheld devices. Proceedings of CHI 2005, Portland, Oregon.

Digital Library

[16]

Stewart, C., Rohs, M., Kratz, S. and Essl, G. Characteristics of Pressure-Based Input for Mobile Devices. Proceedings of CHI 2010, Atlanta, Georgia.

Digital Library

[17]

Clarkson, E. C., Patel, S. N., Jeffrey, S. P. and Abowd, G. D. Exploring Continuous Pressure Input for Mobile Phones. Proceedings of ACM UIST 2005.

[18]

Tang, H., Beebe, D. and Kramer, A. Comparison of tactile and visual feedback for a multi-state inputmechanism. Engineering in Medicine and Biology Society 1997.

[19]

Tang, H., Beebe, D. J. and Kramer, A. F. A multilevel input system with force-sensitive elements. International Journal of Human-Computer Studies, 54, 2001, 495--507.

Digital Library

[20]

Schmidt, R. and Bjork, R. New conceptualizations of practice: Common principles in three paradigms suggest new concepts for training. Psychological Science, 3, (4), 207--217.

[21]

Brewster, S. and Brown, L. Tactons - Structured Tactile Messages for Non-Visual Information Display Australasian User Interface Conference, 2004, 15--23.

Digital Library

[22]

Brown, L., Brewster, S. A. and Purchase, H. C. A First Investigation into the Effectiveness of Tactons. IEEE WorldHaptics, 2005.

Digital Library

[23]

Brown, L., Brewster, S. and Purchase, H. Multidimensional Tactons for Non-Visual Information Presentation in Mobile Devices. MobileHCI 2006.

Digital Library

[24]

Marentakis, G. and Brewster, S. Effects of Feedback, Mobility and Index of Difficulty on Deictic Spatial Audio Target Acquisition in the Horizontal Plane. Proceedings of CHI 2006, Montreal, Quebec.

Digital Library

[25]

Brewster, S., Lumsden, J., Bell, M., Hall, M. and Tasker, S. Multimodal 'Eyes-Free' Interaction Techniques for Wearable Devices. Proceedings of CHI 2003, Ft. Lauderdale, Florida.

Digital Library

[26]

Sawhney, N. and Schmandt, C. Nomadic radio: speech and audio interaction for contextual messaging in nomadic environments. ACM transactions on computer-human interaction, 7, 3, 353--383.

Digital Library

[27]

Newell, K. and McDonald, P. V. Information, coordination modes and control in a prehensile force task. Human Movement Science, 13, 3-4, 375--391.

[28]

Fitts, P.M. The information capacity of the human motor system in controlling the amplitude of movement. Journal of Experimental Psychology, 47 (6), 381--391.

Cited By

Zieher TProbst K(2024)Usability Optimization for Mobile Menu Design: An Empirical Study of Hand Grips and User PreferencesProceedings of the ACM on Human-Computer Interaction10.1145/36765088:MHCI(1-19)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676508
Kim SKim YLee G(2024)Pressure-Based Menu Selection on a Spherical Tangible DeviceExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3651090(1-6)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3651090
Chaffangeon Caillet AGoguey ANigay L(2023)µGlyph: a Microgesture NotationProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580693(1-28)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580693
Show More Cited By

Index Terms

Pressure-based menu selection for mobile devices
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Haptic devices

Recommendations

Characteristics of pressure-based input for mobile devices
CHI '10: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

We conducted a series of user studies to understand and clarify the fundamental characteristics of pressure in user interfaces for mobile devices. We seek to provide insight to clarify a longstanding discussion on mapping functions for pressure input. ...
Towards utilising one-handed multi-digit pressure input
CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing Systems

This paper explores the potential uses of pressure input from multiple digits (i.e., all 4 fingers and the thumb) of one hand squeezing a mobile device: multiple digits may provide multiple inputs. The potential advantages for mobile interaction include ...
The effects of walking and control method on pressure-based interaction
CHI EA '11: CHI '11 Extended Abstracts on Human Factors in Computing Systems

Pressure-based interactions have largely been limited to static scenarios; very few have focused on its use on mobile devices and even fewer have investigated the use of pressure while the user is in motion (i.e. walking). Pressure input is well suited ...

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences

MobileHCI '10: Proceedings of the 12th international conference on Human computer interaction with mobile devices and services

September 2010

552 pages

ISBN:9781605588353

DOI:10.1145/1851600

General Chairs:
Marco de Sá
LaSIGE & University of Lisboa, Portugal
,
Luís Carriço
LaSIGE & University of Lisboa, Portugal
,
Program Chair:
Nuno Correia
CITI & New University of Lisboa, Portugal

Copyright © 2010 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]

In-Cooperation

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 September 2010

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

MobileHCI '10

MobileHCI '10: 12th International Conference on Human Computer Interaction with Mobile Devices and Services

September 7 - 10, 2010

Lisbon, Portugal

Acceptance Rates

MobileHCI '10 Paper Acceptance Rate 46 of 225 submissions, 20%;

Overall Acceptance Rate 202 of 906 submissions, 22%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

56
Total Citations
View Citations
952
Total Downloads

Downloads (Last 12 months)49
Downloads (Last 6 weeks)3

Reflects downloads up to 25 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Zieher TProbst K(2024)Usability Optimization for Mobile Menu Design: An Empirical Study of Hand Grips and User PreferencesProceedings of the ACM on Human-Computer Interaction10.1145/36765088:MHCI(1-19)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676508
Kim SKim YLee G(2024)Pressure-Based Menu Selection on a Spherical Tangible DeviceExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3651090(1-6)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3651090
Chaffangeon Caillet AGoguey ANigay L(2023)µGlyph: a Microgesture NotationProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580693(1-28)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580693
Wang MQin GSun MZhao JQin J(2023)An exploration of pressure input with bare finger for Mobile interaction in stationary and Mobile situationsMultimedia Tools and Applications10.1007/s11042-023-14503-082:17(25711-25731)Online publication date: 14-Feb-2023
https://doi.org/10.1007/s11042-023-14503-0
Lee LBraud THui P(2023)Embodied Interaction on Constrained Interfaces for Augmented RealitySpringer Handbook of Augmented Reality10.1007/978-3-030-67822-7_10(239-271)Online publication date: 1-Jan-2023
https://doi.org/10.1007/978-3-030-67822-7_10
Dobinson RTeyssier MSteimle JFruchard B(2022)MicroPress: Detecting Pressure and Hover Distance in Thumb-to-Finger InteractionsProceedings of the 2022 ACM Symposium on Spatial User Interaction10.1145/3565970.3567698(1-10)Online publication date: 1-Dec-2022
https://dl.acm.org/doi/10.1145/3565970.3567698
Zhang ZAlvina JDétienne FLecolinet EBottoni PPanizzi E(2022)Pulling, Pressing, and Sensing with In-Flat: Transparent Touch Overlay for SmartphonesProceedings of the 2022 International Conference on Advanced Visual Interfaces10.1145/3531073.3531111(1-9)Online publication date: 6-Jun-2022
https://dl.acm.org/doi/10.1145/3531073.3531111
Chaffangeon AGoguey ANigay L(2022)μGlyphe: une Notation Graphique pour Décrire les MicrogestesProceedings of the 33rd Conference on l'Interaction Humain-Machine10.1145/3500866.3516371(1-13)Online publication date: 5-Apr-2022
https://dl.acm.org/doi/10.1145/3500866.3516371
Wang JChen C(2022)Freehand Target Acquisition With a Force-Assisted DeviceIEEE Sensors Journal10.1109/JSEN.2021.313712822:3(1972-1979)Online publication date: 1-Feb-2022
https://doi.org/10.1109/JSEN.2021.3137128
Lee LZhu YYau YHui PPirttikangas S(2021)Press-n-Paste: Copy-and-Paste Operations with Pressure-sensitive Caret Navigation for Miniaturized Surface in Mobile Augmented RealityProceedings of the ACM on Human-Computer Interaction10.1145/34571465:EICS(1-29)Online publication date: 29-May-2021
https://dl.acm.org/doi/10.1145/3457146
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents