research-article

Quantifying Aversion to Costly Typing Errors in Expert Mobile Text Entry

Authors:

Nikola Banovic,

Abinaya Saravanan,

Jennifer MankoffAuthors Info & Claims

CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

Pages 4229 - 4241

https://doi.org/10.1145/3025453.3025695

Published: 02 May 2017 Publication History

Abstract

Text entry is an increasingly important activity for mobile device users. As a result, increasing text entry speed of expert typists is an important design goal for physical and soft keyboards. Mathematical models that predict text entry speed can help with keyboard design and optimization. Making typing errors when entering text is inevitable. However, current models do not consider how typists themselves reduce the risk of making typing errors (and lower error frequency) by typing more slowly. We demonstrate that users respond to costly typing errors by reducing their typing speed to minimize typing errors. We present a model that estimates the effects of risk aversion to errors on typing speed. We estimate the magnitude of this speed change, and show that disregarding the adjustments to typing speed that expert typists use to reduce typing errors leads to overly optimistic estimates of maximum errorless expert typing speeds.

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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
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Index Terms

Quantifying Aversion to Costly Typing Errors in Expert Mobile Text Entry
1. Human-centered computing
  1. Human computer interaction (HCI)

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CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

May 2017

7138 pages

ISBN:9781450346559

DOI:10.1145/3025453

General Chairs:
Gloria Mark
University of California Irvine
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Susan Fussell
Cornell University
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Cliff Lampe
University of Michigan
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m.c. schraefel
University of Southampton
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Juan Pablo Hourcade
University of Iowa
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Caroline Appert
Université Paris-Sud
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Daniel Wigdor
University of Toronto

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Published: 02 May 2017

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https://dl.acm.org/doi/10.1145/3659627
Streli PRichardson MBotros FMa SWang RHolz C(2024)TouchInsight: Uncertainty-aware Rapid Touch and Text Input for Mixed Reality from Egocentric VisionProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676330(1-16)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676330
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
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