research-article

A Comparative Evaluation of Spatial Targeting Behaviour Patterns for Finger and Stylus Tapping on Mobile Touchscreen Devices

Authors:

Daniel Buschek,

Julia Kinshofer,

Florian AltAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 1, Issue 4

Article No.: 126, Pages 1 - 21

https://doi.org/10.1145/3161160

Published: 08 January 2018 Publication History

Abstract

Models of 2D targeting error patterns have been applied as a valuable computational tool for analysing finger touch behaviour on mobile devices, improving touch accuracy and inferring context. However, their use in stylus input is yet unexplored. This paper presents the first empirical study and analyses of such models for tapping with a stylus. In a user study (N = 28), we collected targeting data on a smartphone, both for stationary use (sitting) and walking. We compare targeting patterns between index finger input and three stylus variations -- two stylus widths and nib types as well as the addition of a hover cursor. Our analyses reveal that stylus targeting patterns are user-specific, and that offset models improve stylus tapping accuracy, but less so than for finger touch. Input method has a stronger influence on targeting patterns than mobility, and stylus width is more influential than the hover cursor. Stylus models improve finger accuracy as well, but not vice versa. The extent of the stylus accuracy advantage compared to the finger depends on screen location and mobility. We also discuss patterns related to mobility and gliding of the stylus on the screen. We conclude with implications for target sizes and offset model applications.

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Cited By

Li CYu JHe KFeng JZhou J(2024)SwivelTouch: Boosting Touchscreen Input with 3D Finger Rotation GestureProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36595848:2(1-30)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659584
Schmidt AMayer SBuschek D(2021)Introduction to Intelligent User InterfacesExtended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411763.3445021(1-4)Online publication date: 8-May-2021
https://dl.acm.org/doi/10.1145/3411763.3445021
Alharbi OStuerzlinger WPutze F(2020)The Effects of Predictive Features of Mobile Keyboards on Text Entry Speed and ErrorsProceedings of the ACM on Human-Computer Interaction10.1145/34273114:ISS(1-16)Online publication date: 4-Nov-2020
https://dl.acm.org/doi/10.1145/3427311
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Index Terms

A Comparative Evaluation of Spatial Targeting Behaviour Patterns for Finger and Stylus Tapping on Mobile Touchscreen Devices
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Empirical studies in ubiquitous and mobile computing

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Evaluating one handed thumb tapping on mobile touchscreen devices
GI '08: Proceedings of Graphics Interface 2008

In spite of the increasing popularity of handheld touchscreen devices, little research has been conducted on how to evaluate and design one handed thumb tapping interactions. In this paper, we present a study that researched three issues related to ...

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 1, Issue 4

December 2017

1298 pages

EISSN:2474-9567

DOI:10.1145/3178157

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Copyright © 2018 ACM.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 January 2018

Accepted: 01 October 2017

Revised: 01 October 2017

Received: 01 August 2017

Published in IMWUT Volume 1, Issue 4

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Li CYu JHe KFeng JZhou J(2024)SwivelTouch: Boosting Touchscreen Input with 3D Finger Rotation GestureProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36595848:2(1-30)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659584
Schmidt AMayer SBuschek D(2021)Introduction to Intelligent User InterfacesExtended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411763.3445021(1-4)Online publication date: 8-May-2021
https://dl.acm.org/doi/10.1145/3411763.3445021
Alharbi OStuerzlinger WPutze F(2020)The Effects of Predictive Features of Mobile Keyboards on Text Entry Speed and ErrorsProceedings of the ACM on Human-Computer Interaction10.1145/34273114:ISS(1-16)Online publication date: 4-Nov-2020
https://dl.acm.org/doi/10.1145/3427311
Kurabayashi SArnedo JNacke LVanden Abeele VToups Dugas P(2019)Kinetics: A Mathematical Model for an On-Screen Gamepad Controllable by Finger-TiltingExtended Abstracts of the Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts10.1145/3341215.3356289(467-474)Online publication date: 17-Oct-2019
https://dl.acm.org/doi/10.1145/3341215.3356289

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