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Pressure-based text entry for mobile devices

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MobileHCI '09: Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services

Article No.: 9, Pages 1 - 4

https://doi.org/10.1145/1613858.1613870

Published: 15 September 2009 Publication History

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Abstract

This paper describes the design and evaluation of a touch screen-based pressure keyboard to investigate the possibilities of pressure as a new method of input for mobile devices. A soft press on the touchscreen generated a lowercase letter, a hard press an uppercase one. The aim was to improve input performance when entering mixed-case text, or shifted characters often used for emoticons, etc. An experiment compared two different forms of pressure input (Dwell and Quick Release) against a standard shift key keyboard, with users both sitting and walking. Results showed that Quick Release was the fastest for input of mixed case text with Dwell being the most accurate, even when users were mobile. The results demonstrate that pressure input can outperform a standard shift-key keyboard design for mobile text entry.

References

[1]

Brewster, S. A., Lumsden, J., Bell, M., Hall, M. and Tasker, S. Multimodal 'Eyes-Free' Interaction Techniques for Wearable Devices. In Proceedings of ACM CHI 2003, ACM Press, Addison-Wesley, 463--480.

Digital Library

Google Scholar

[2]

Cechanowicz, J., Irani, P. and Subramanian, S. Augmenting the Mouse with Pressure Sensitive Input. In Proceedings of ACM CHI 2007, ACM Press, Addison Wesley, 1385--1394.

Digital Library

Google Scholar

[3]

Hoggan, E., Brewster, S. A. and Johnston, J. Investigating the Effectiveness of Tactile Feedback for Mobile Touch screens. In Proceedings of ACM CHI2008, ACM Press Addison Wesley, 1573--1582.

Digital Library

Google Scholar

[4]

Holleis, P., Huhtala, J. and Häkkilä, J. Studying applications for touch-enabled mobile phone keypads. In Proceedings of TEI 2008, ACM Press, 15--18.

Digital Library

Google Scholar

[5]

Mackenzie, I. S., Zhang, S. and Soukoreff, R. W. Text Entry Using Soft Keyboards. Behaviour and Information Technology, 1999, 18(4), 235--244.

Crossref

Google Scholar

[6]

MacKenzie, I. S. and Zhang, S. X. An empirical investig ation of the novice experience with soft keyboards. Behaviour and Information Technology, 2001, 20 (6), 411--418.

Crossref

Google Scholar

[7]

MacKenzie, S. and Soukoreff, W. Phrase Sets for Evaluating Text Entry Techniques. In Extended Abstracts of ACM CHI 2003, ACM Press, 754--755.

Digital Library

Google Scholar

[8]

Mizobuchi, S., Terasaki, S., Keski-Jaskari, T., Nousiainen, J., Ryynanen, M. and Silfverberg, M. Making, an impression: force-controlled pen input for handheld devices. In Vol II Proceedings of ACM CHI 2005, ACM Press, 1661--1664.

Digital Library

Google Scholar

[9]

Ramos, G., Boulos, M. and Balakrishnan, R. Pressure Widgets. In Proceedings of ACM CHI 2004, ACM Press, Addison-Wesley, 487--494.

Digital Library

Google Scholar

[10]

Sears, A., Revis, D., Swatski, J., Crittenden, R. and Shneiderman, B. Investigating Touchscreen Typing: The Effect of Keyboard Size on Typing Speed. Behaviour and Information Technology, 1993, 12 (1), 17--22.

Google Scholar

[11]

Srinivasan, M. and Chen, J. Human performance in controlling normal forces of contact with rigid objects. Winter Annual Meeting of the ASME, 1993, 49. 119--125.

Google Scholar

[12]

Tang, H., Beebe, D. and Kramer, A. A multilevel input system with force-sensitive elements. International Journal of Human-Computer Studies, 2001, (52), 495--507.

Digital Library

Google Scholar

Cited By

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Coe PEvreinov GZiat MRaisamo R(2024)What the Mind Can Comprehend from a Single TouchMultimodal Technologies and Interaction10.3390/mti80600458:6(45)Online publication date: 28-May-2024
https://doi.org/10.3390/mti8060045
Mollyn VHarrison C(2024)EgoTouch: On-Body Touch Input Using AR/VR Headset CamerasProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676455(1-11)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676455
Rizk HElbestar MYoussef M(2024)From Calls to Scales: Harnessing Smartphone Accelerometer and Vibration for Daily Mass Measurement2024 IEEE International Conference on Smart Computing (SMARTCOMP)10.1109/SMARTCOMP61445.2024.00035(101-108)Online publication date: 29-Jun-2024
https://doi.org/10.1109/SMARTCOMP61445.2024.00035
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Index Terms

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

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Information & Contributors

Information

Published In

MobileHCI '09: Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services

September 2009

473 pages

ISBN:9781605582818

DOI:10.1145/1613858

Conference Chair:
Reinhard Oppermann
Fraunhofer FIT
,
Program Chairs:
Markus Eisenhauer
Fraunhofer FIT
,
Matthias Jarke
RWTH Aachen + Fraunhofer FIT
,
Volker Wulf
University of Siegen + Fraunhofer FIT

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Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 September 2009

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Research-article

Funding Sources

Engineering and Physical Sciences Research Council

Conference

MobileHCI '09

MobileHCI '09: 11th International Conference on Human Computer Interaction with Mobile Devices and Services

September 15 - 18, 2009

Bonn, Germany

Acceptance Rates

MobileHCI '09 Paper Acceptance Rate 23 of 95 submissions, 24%;

Overall Acceptance Rate 202 of 906 submissions, 22%

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Citations

Cited By

View all

Coe PEvreinov GZiat MRaisamo R(2024)What the Mind Can Comprehend from a Single TouchMultimodal Technologies and Interaction10.3390/mti80600458:6(45)Online publication date: 28-May-2024
https://doi.org/10.3390/mti8060045
Mollyn VHarrison C(2024)EgoTouch: On-Body Touch Input Using AR/VR Headset CamerasProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676455(1-11)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676455
Rizk HElbestar MYoussef M(2024)From Calls to Scales: Harnessing Smartphone Accelerometer and Vibration for Daily Mass Measurement2024 IEEE International Conference on Smart Computing (SMARTCOMP)10.1109/SMARTCOMP61445.2024.00035(101-108)Online publication date: 29-Jun-2024
https://doi.org/10.1109/SMARTCOMP61445.2024.00035
Ren YArif A(2023)Investigating a Force-Based Selection Method for Smartwatches in a 1D Fitts’ Law Study and Two New Character-Level KeyboardsProceedings of the Seventeenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3569009.3572741(1-10)Online publication date: 26-Feb-2023
https://dl.acm.org/doi/10.1145/3569009.3572741
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
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
Song YOakley I(2022)PushPIN: A Pressure-Based Behavioral Biometric Authentication System for SmartwatchesInternational Journal of Human–Computer Interaction10.1080/10447318.2022.204914439:4(893-909)Online publication date: 19-Apr-2022
https://doi.org/10.1080/10447318.2022.2049144
Song YOakley I(2022)PushID: A Pressure Control Interaction-Based Behavioral Biometric Authentication System for SmartwatchesHCI for Cybersecurity, Privacy and Trust10.1007/978-3-031-05563-8_17(255-267)Online publication date: 26-Jun-2022
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Quinn PFeng WZhai S(2021)Deep Touch: Sensing Press Gestures from Touch Image SequencesArtificial Intelligence for Human Computer Interaction: A Modern Approach10.1007/978-3-030-82681-9_6(169-192)Online publication date: 5-Nov-2021
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Yi XWang CBi XShi YBernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)PalmBoard: Leveraging Implicit Touch Pressure in Statistical Decoding for Indirect Text EntryProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376441(1-13)Online publication date: 21-Apr-2020
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Side pressure for bidirectional navigation on small devices

Investigating Tilt-based Gesture Keyboard Entry for Single-Handed Text Entry on Large Devices

A system for fast, full-text entry for small electronic devices