research-article

The inviscid text entry rate and its application as a grand goal for mobile text entry

Authors:

Per Ola Kristensson,

Keith VertanenAuthors Info & Claims

MobileHCI '14: Proceedings of the 16th international conference on Human-computer interaction with mobile devices & services

Pages 335 - 338

https://doi.org/10.1145/2628363.2628405

Published: 23 September 2014 Publication History

Abstract

We introduce the concept of the inviscid text entry rate: the point when the user's creativity is the bottleneck rather than the text entry method. We then apply the inviscid text entry rate to define a grand goal for mobile text entry. Via a proxy measure we estimate the population mean of the sufficiently inviscid entry rate to be 67 wpm. We then compare existing mobile text entry methods against this estimate and find that the vast majority of text entry methods in the literature are substantially slower. This analysis suggests the mobile text entry field needs to focus on methods that can viably approach the inviscid entry rate.

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Cited By

Buschek D(2024)Collage is the New Writing: Exploring the Fragmentation of Text and User Interfaces in AI ToolsProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3660681(2719-2737)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3660681
Draxler FWerner ALehmann FHoppe MSchmidt ABuschek DWelsch R(2024)The AI Ghostwriter Effect: When Users do not Perceive Ownership of AI-Generated Text but Self-Declare as AuthorsACM Transactions on Computer-Human Interaction10.1145/363787531:2(1-40)Online publication date: 5-Feb-2024
https://dl.acm.org/doi/10.1145/3637875
Lee MGero KChung JShum SRaheja VShen HVenugopalan SWambsganss TZhou DAlghamdi EAugust TBhat AChoksi MDutta SGuo JHoque MKim YKnight SNeshaei SShibani AShrivastava DShroff LSergeyuk AStark JSterman SWang SBosselut ABuschek DChang JChen SKreminski MPark JPea RRho EShen ZSiangliulue P(2024)A Design Space for Intelligent and Interactive Writing AssistantsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642697(1-35)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642697
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Index Terms

The inviscid text entry rate and its application as a grand goal for mobile text entry
1. Human-centered computing
  1. Human computer interaction (HCI)

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cover image ACM Conferences

MobileHCI '14: Proceedings of the 16th international conference on Human-computer interaction with mobile devices & services

September 2014

664 pages

ISBN:9781450330046

DOI:10.1145/2628363

Conference Chairs:
Aaron Quigley
University of St. Andrews, UK
,
Sara Diamond
OCAD University, Canada
,
Program Chairs:
Pourang Irani
University of Manitoba, Canada
,
Sriram Subramanian
University of Bristol, UK

Copyright © 2014 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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Association for Computing Machinery

New York, NY, United States

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Published: 23 September 2014

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MobileHCI '14

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SIGCHI

MobileHCI '14: 16th International Conference on Human-Computer Interaction with Mobile Devices and Services

September 23 - 26, 2014

ON, Toronto, Canada

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MobileHCI '14 Paper Acceptance Rate 35 of 124 submissions, 28%;

Overall Acceptance Rate 202 of 906 submissions, 22%

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Cited By

Buschek D(2024)Collage is the New Writing: Exploring the Fragmentation of Text and User Interfaces in AI ToolsProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3660681(2719-2737)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3660681
Draxler FWerner ALehmann FHoppe MSchmidt ABuschek DWelsch R(2024)The AI Ghostwriter Effect: When Users do not Perceive Ownership of AI-Generated Text but Self-Declare as AuthorsACM Transactions on Computer-Human Interaction10.1145/363787531:2(1-40)Online publication date: 5-Feb-2024
https://dl.acm.org/doi/10.1145/3637875
Lee MGero KChung JShum SRaheja VShen HVenugopalan SWambsganss TZhou DAlghamdi EAugust TBhat AChoksi MDutta SGuo JHoque MKim YKnight SNeshaei SShibani AShrivastava DShroff LSergeyuk AStark JSterman SWang SBosselut ABuschek DChang JChen SKreminski MPark JPea RRho EShen ZSiangliulue P(2024)A Design Space for Intelligent and Interactive Writing AssistantsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642697(1-35)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642697
Bhat AAgashe SOberoi PMohile NJangir RJoshi A(2023)Interacting with Next-Phrase Suggestions: How Suggestion Systems Aid and Influence the Cognitive Processes of WritingProceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581641.3584060(436-452)Online publication date: 27-Mar-2023
https://dl.acm.org/doi/10.1145/3581641.3584060
Fu LNewman BJakesch MKreps S(2023)Comparing Sentence-Level Suggestions to Message-Level Suggestions in AI-Mediated CommunicationProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581351(1-13)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581351
Jakesch MBhat ABuschek DZalmanson LNaaman M(2023)Co-Writing with Opinionated Language Models Affects Users’ ViewsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581196(1-15)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581196
Dudley JZheng JGupta ABenko HLongest MWang RKristensson P(2023)Evaluating the Performance of Hand-Based Probabilistic Text Input Methods on a Mid-Air Virtual Qwerty KeyboardIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332023829:11(4567-4577)Online publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1109/TVCG.2023.3320238
Yusufali HGoetze SMoore R(2023)Bridging the Communication Rate Gap: Enhancing Text Input for Augmentative and Alternative Communication (AAC)HCI International 2023 – Late Breaking Papers10.1007/978-3-031-48041-6_29(434-452)Online publication date: 2-Dec-2023
https://doi.org/10.1007/978-3-031-48041-6_29
Lehmann FMarkert NDang HBuschek D(2022)Suggestion Lists vs. Continuous Generation: Interaction Design for Writing with Generative Models on Mobile Devices Affect Text Length, Wording and Perceived AuthorshipProceedings of Mensch und Computer 202210.1145/3543758.3543947(192-208)Online publication date: 4-Sep-2022
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Buschek DZürn MEiband MKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)The Impact of Multiple Parallel Phrase Suggestions on Email Input and Composition Behaviour of Native and Non-Native English WritersProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445372(1-13)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445372
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