poster

WebTEM: A Web Application to Record Text Entry Metrics

Authors:

Ahmed Sabbir Arif,

Ali MazalekAuthors Info & Claims

ISS '16: Proceedings of the 2016 ACM International Conference on Interactive Surfaces and Spaces

Pages 415 - 420

https://doi.org/10.1145/2992154.2996791

Published: 06 November 2016 Publication History

Abstract

WebTEM is a Web application to record text entry metrics. It is developed with common Web technologies, thus works on any device with a modern Web browser, and with any keyboard. We evaluated its effectiveness in an empirical study that compared the default Apple iOS, Google Android, and Microsoft Windows Phone keyboards. Results of the study highlighted mobile users' increased dependency on autocorrections.

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References

[1]

Arif, A. S. and Fardeen, S. A phrase set for Bengali text entry evaluations based on actual text messages. Ext. Abstracts CHI '16, ACM (2016), 2992--2998.

Digital Library

[2]

Arif, A. S. and Stuerzlinger, W. Analysis of text entry performance metrics. TIC-STH '09. IEEE (2009), 100--105.

[3]

Arif, A. S., Lopez, M. H., and Stuerzlinger, W. Two new mobile touchscreen text entry techniques. Poster GI '10, CEUR-WS.org/Vol-588, 22--23.

[4]

Castellucci, S. J. and MacKenzie, I. S. Gathering text entry metrics on Android devices. Ext. Abstracts CHI '11, ACM (2011), 1507--1512.

Digital Library

[5]

Diff-match-patch. https://code.google.com/p/google-diff-match-patch

[6]

Font Awesome. http://fontawesome.io

[7]

Grapheme-Splitter. https://github.com/orling/grapheme-splitter

[8]

jQuery. https://jquery.com

[9]

Kano, A., Read, J. C., and Dix, A. Children's phrase set for text input method evaluations. NordiCHI '06, ACM (2006), 449--452.

Digital Library

[10]

MacKenzie, I. S. and Soukoreff, R. W. Phrase sets for evaluating text entry techniques. Ext. Abstracts CHI '03, ACM (2003), 754--755.

Digital Library

[11]

PHPMailer. https://github.com/PHPMailer/PHPMailer

[12]

Sarcar, S., Arif, A. S., and Mazalek, A. Metrics for Bengali text entry research. CHI 2015 Workshop on Text Entry on the Edge (2015). Seoul, South Korea.

[13]

Soukoreff, R. W. and MacKenzie, I. S. Metrics for text entry research: An evaluation of MSD and KSPC, and a new unified error metric. CHI '03, ACM (2003), 113--120.

Digital Library

[14]

Vertanen, K. and Kristensson, P. O. A versatile dataset for text entry evaluations based on genuine mobile emails. MobileHCI '11, ACM (2011), 295--298.

Digital Library

[15]

Wobbrock, J. O. and Myers, B. A. Analyzing the input stream for character-level errors in unconstrained text entry evaluations. ACM Trans. Comput.-Hum. Interact. 13, 4 (2006), 458--489.

Digital Library

Cited By

Haw WRen YNg KArif A(2024)Investigating the Effects of Self-selected Pleasant Scents on Text Composition and Transcription PerformanceProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642445(1-13)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642445
Kounalaki MSimou IKomninos A(2023)Pseudo-haptic and Self-haptic Feedback During VR Text EntryProceedings of the 2nd International Conference of the ACM Greek SIGCHI Chapter10.1145/3609987.3610002(1-8)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3609987.3610002
Komninos A(2022)The Value of Open Data in HCI: A Case Report from Mobile Text Entry ResearchMultimodal Technologies and Interaction10.3390/mti60900716:9(71)Online publication date: 23-Aug-2022
https://doi.org/10.3390/mti6090071
Show More Cited By

Index Terms

WebTEM: A Web Application to Record Text Entry Metrics
1. Human-centered computing

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Published In

cover image ACM Conferences

ISS '16: Proceedings of the 2016 ACM International Conference on Interactive Surfaces and Spaces

November 2016

554 pages

ISBN:9781450342483

DOI:10.1145/2992154

General Chairs:
Mark Hancock
University of Waterloo, Canada
,
Nicolai Marquardt
University College London, UK
,
Program Chairs:
Johannes Schöning
Hasselt University, Belgium
,
Melanie Tory
Tableau Research, USA

Copyright © 2016 Owner/Author.

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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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: 06 November 2016

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SIGCHI

ISS '16: 2016 ACM International Conference on Interactive Surfaces and Spaces

November 6 - 9, 2016

Ontario, Niagara Falls, Canada

Acceptance Rates

ISS '16 Paper Acceptance Rate 33 of 119 submissions, 28%;

Overall Acceptance Rate 147 of 533 submissions, 28%

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ISS '24

Sponsor:
sigchi

Conference on Interactive Surfaces and Spaces

October 27 - 30, 2024

Vancouver , BC , Canada

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Cited By

Haw WRen YNg KArif A(2024)Investigating the Effects of Self-selected Pleasant Scents on Text Composition and Transcription PerformanceProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642445(1-13)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642445
Kounalaki MSimou IKomninos A(2023)Pseudo-haptic and Self-haptic Feedback During VR Text EntryProceedings of the 2nd International Conference of the ACM Greek SIGCHI Chapter10.1145/3609987.3610002(1-8)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3609987.3610002
Komninos A(2022)The Value of Open Data in HCI: A Case Report from Mobile Text Entry ResearchMultimodal Technologies and Interaction10.3390/mti60900716:9(71)Online publication date: 23-Aug-2022
https://doi.org/10.3390/mti6090071
Komninos ATsiouma AGogoulou GGarofalakis J(2022)Don’t Look Up: The Cost of Attention to Stimulus Phrases in Mobile Text Entry EvaluationsProceedings of the 26th Pan-Hellenic Conference on Informatics10.1145/3575879.3576015(341-346)Online publication date: 25-Nov-2022
https://dl.acm.org/doi/10.1145/3575879.3576015
McGill MBrewster SDe Sa Medeiros DBovet SGutierrez MKehoe A(2022)Creating and Augmenting Keyboards for Extended Reality with the Keyboard Augmentation ToolkitACM Transactions on Computer-Human Interaction10.1145/349049529:2(1-39)Online publication date: 16-Jan-2022
https://dl.acm.org/doi/10.1145/3490495
Komninos AKavvathas VSimou I(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
https://doi.org/10.1007/978-3-031-21333-5_85
Arif A(2021)Statistical GroundingIntelligent Computing for Interactive System Design10.1145/3447404.3447410(59-99)Online publication date: 23-Feb-2021
https://dl.acm.org/doi/10.1145/3447404.3447410
Sharif MRakhmetulla GArif AJorge JFerreira AMarquardt NChevalier F(2020)TapStr: A Tap and Stroke Reduced-Qwerty for SmartphonesCompanion Proceedings of the 2020 Conference on Interactive Surfaces and Spaces10.1145/3380867.3426208(47-50)Online publication date: 8-Nov-2020
https://dl.acm.org/doi/10.1145/3380867.3426208
Rakhmetulla GArif ABernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)Senorita: A Chorded Keyboard for Sighted, Low Vision, and Blind Mobile UsersProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376576(1-13)Online publication date: 21-Apr-2020
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Palin KFeit AKim SKristensson POulasvirta A(2019)How do People Type on Mobile Devices?Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services10.1145/3338286.3340120(1-12)Online publication date: 1-Oct-2019
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