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Predicting text entry speed on mobile phones

Published: 01 April 2000 Publication History

Abstract

We present a model for predicting expert text entry rates for several input methods on a 12-key mobile phone keypad. The model includes a movement component based on Fitts' law and a linguistic component based on digraph, or letter-pair, probabilities. Predictions are provided for one-handed thumb and two-handed index finger input. For the traditional multi-press method or the lesser-used two-key method, predicted expert rates vary from about 21 to 27 words per minute (wpm). The relatively new T9 method works with a disambiguating algorithm and inputs each character with a single key press. Predicted expert rates vary from 41 wpm for one-handed thumb input to 46 wpm for two-handed index finger input. These figures are degraded somewhat depending on the user's strategy in coping with less-than-perfect disambiguation. Analyses of these strategies are presented.

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  • (2024)The Guided Evaluation MethodInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2024.103317190:COnline publication date: 1-Oct-2024
  • (2023)Generating Representative Phrase Sets for Text Entry Experiments by GA-Based Text Corpora SamplingMathematics10.3390/math1111255011:11(2550)Online publication date: 1-Jun-2023
  • (2023)Does Repeatedly Typing the Same Phrase Provide a Good Estimate of Expert Text Entry Performance?Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585647(1-8)Online publication date: 19-Apr-2023
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cover image ACM Conferences
CHI '00: Proceedings of the SIGCHI conference on Human Factors in Computing Systems
April 2000
587 pages
ISBN:1581132166
DOI:10.1145/332040
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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Publication History

Published: 01 April 2000

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Author Tags

  1. Fitts' law
  2. digraph frequencies
  3. human performance modeling
  4. keypad input
  5. mobile phones
  6. mobile systems
  7. text entry

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CHI00
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CHI00: Human Factors in Computing Systems
April 1 - 6, 2000
The Hague, The Netherlands

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CHI '00 Paper Acceptance Rate 72 of 336 submissions, 21%;
Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

View all
  • (2024)The Guided Evaluation MethodInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2024.103317190:COnline publication date: 1-Oct-2024
  • (2023)Generating Representative Phrase Sets for Text Entry Experiments by GA-Based Text Corpora SamplingMathematics10.3390/math1111255011:11(2550)Online publication date: 1-Jun-2023
  • (2023)Does Repeatedly Typing the Same Phrase Provide a Good Estimate of Expert Text Entry Performance?Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585647(1-8)Online publication date: 19-Apr-2023
  • (2022)LEDBoard: Using Visual Feedback to Support Text Entry with Physical KeyboardsProceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022)10.1007/978-3-031-21333-5_85(852-863)Online publication date: 21-Nov-2022
  • (2021)Rules of Program BehaviorACM Transactions on Computing Education10.1145/346912821:4(1-37)Online publication date: 17-Nov-2021
  • (2021)Design and Analysis of Intelligent Text Entry Systems with Function Structure Models and Envelope AnalysisProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445566(1-12)Online publication date: 6-May-2021
  • (2021)Touchscreen Typing As Optimal Supervisory ControlProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445483(1-14)Online publication date: 6-May-2021
  • (2021)FingerText: Exploring and Optimizing Performance for Wearable, Mobile and One-Handed TypingProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445106(1-15)Online publication date: 6-May-2021
  • (2020)Comparing Smartphone Speech Recognition and Touchscreen Typing for Composition and TranscriptionProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376861(1-11)Online publication date: 21-Apr-2020
  • (2019)TiltWriterProceedings of the 18th International Conference on Mobile and Ubiquitous Multimedia10.1145/3365610.3365629(1-8)Online publication date: 26-Nov-2019
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