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Touch behavior with different postures on soft smartphone keyboards

Authors:

Shumin ZhaiAuthors Info & Claims

MobileHCI '12: Proceedings of the 14th international conference on Human-computer interaction with mobile devices and services

Pages 251 - 260

https://doi.org/10.1145/2371574.2371612

Published: 21 September 2012 Publication History

Abstract

Text entry on smartphones is far slower and more error-prone than on traditional desktop keyboards, despite sophisticated detection and auto-correct algorithms. To strengthen the empirical and modeling foundation of smartphone text input improvements, we explore touch behavior on soft QWERTY keyboards when used with two thumbs, an index finger, and one thumb. We collected text entry data from 32 participants in a lab study and describe touch accuracy and precision for different keys. We found that distinct patterns exist for input among the three hand postures, suggesting that keyboards should adapt to different postures. We also discovered that participants' touch precision was relatively high given typical key dimensions, but there were pronounced and consistent touch offsets that can be leveraged by keyboard algorithms to correct errors. We identify patterns in our empirical findings and discuss implications for design and improvements of soft keyboards.

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Cited By

Yamanaka SUsuba H(2024)0.2-mm-Step Verification of the Dual Gaussian Distribution Model with Large Sample Size for Predicting Tap Success RatesProceedings of the ACM on Human-Computer Interaction10.1145/36981538:ISS(674-693)Online publication date: 24-Oct-2024
https://dl.acm.org/doi/10.1145/3698153
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
Eady AGuerrero ACheung VThue DGirouard A(2024)BendAide: A Deformable Interface to Augment Touchscreen Mobile DevicesProceedings of the 50th Graphics Interface Conference10.1145/3670947.3670960(1-10)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3670947.3670960
Show More Cited By

Index Terms

Touch behavior with different postures on soft smartphone keyboards
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

cover image ACM Conferences

MobileHCI '12: Proceedings of the 14th international conference on Human-computer interaction with mobile devices and services

September 2012

468 pages

ISBN:9781450311052

DOI:10.1145/2371574

General Chairs:
Elizabeth Churchill
Designing Associates, USA
,
Sriram Subramanian
University of Bristol, UK
,
Program Chairs:
Patrick Baudisch
Hasso Plattner Institute, Germany
,
Kenton O'Hara
Microsoft Research, Cambridge, UK

Copyright © 2012 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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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 September 2012

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MobileHCI '12

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SIGCHI

MobileHCI '12: 14th International Conference on Human Computer Interaction with Mobile Devices and Services

September 21 - 24, 2012

California, San Francisco, USA

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Overall Acceptance Rate 202 of 906 submissions, 22%

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Cited By

Yamanaka SUsuba H(2024)0.2-mm-Step Verification of the Dual Gaussian Distribution Model with Large Sample Size for Predicting Tap Success RatesProceedings of the ACM on Human-Computer Interaction10.1145/36981538:ISS(674-693)Online publication date: 24-Oct-2024
https://dl.acm.org/doi/10.1145/3698153
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
Eady AGuerrero ACheung VThue DGirouard A(2024)BendAide: A Deformable Interface to Augment Touchscreen Mobile DevicesProceedings of the 50th Graphics Interface Conference10.1145/3670947.3670960(1-10)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3670947.3670960
Lertvittayakumjorn PCai SDou BHo CZhai S(2024)Can Capacitive Touch Images Enhance Mobile Keyboard Decoding?Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676420(1-17)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676420
Shi DZhu YJokinen JAcharya APutkonen AZhai SOulasvirta A(2024)CRTypist: Simulating Touchscreen Typing Behavior via Computational RationalityProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642918(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642918
Yamanaka SUsuba HSato J(2024)Behavioral Differences between Tap and Swipe: Observations on Time, Error, Touch-point Distribution, and Trajectory for Tap-and-swipe Enabled TargetsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642272(1-12)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642272
Moon HLiao YLi CLee BOulasvirta A(2024)Real-time 3D Target Inference via Biomechanical SimulationProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642131(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642131
Ren YZhang YLiu ZXie N(2024)Eye-Hand Typing: Eye Gaze Assisted Finger Typing via Bayesian Processes in ARIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.337210630:5(2496-2506)Online publication date: 19-Mar-2024
https://dl.acm.org/doi/10.1109/TVCG.2024.3372106
Chen HWu MLo IChang D(2024)Exploring the Affordance Effect of Visual Properties Associated with Virtual Keyboard Buttons on SmartphonesInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2389349(1-20)Online publication date: 14-Aug-2024
https://doi.org/10.1080/10447318.2024.2389349
Cai SVenugopalan SSeaver KXiao XTomanek KJalasutram SMorris MKane SNarayanan AMacDonald RKornman EVance DCasey BGleason SNelson PBrenner M(2024)Using large language models to accelerate communication for eye gaze typing users with ALSNature Communications10.1038/s41467-024-53873-315:1Online publication date: 1-Nov-2024
https://doi.org/10.1038/s41467-024-53873-3
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