Article

Effect of foreign language on text transcription performance: Finns writing English

Authors:

Poika Isokoski,

Timo LindenAuthors Info & Claims

NordiCHI '04: Proceedings of the third Nordic conference on Human-computer interaction

Pages 109 - 112

https://doi.org/10.1145/1028014.1028032

Published: 23 October 2004 Publication History

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Abstract

To promote inter-study comparability it is desirable to standardize experimental procedures in text entry experiments. This includes standardizing the language. The current trend is to use English. To clarify the implications of use of English in non-English speaking countries we measured text entry performance with a QWERTY keyboard for 16 participants transcribing phrases in two languages. The languages were Finnish - the first language of the participants - and English, in which the participants had considerable skill. English language entry was about 16% slower than Finnish. The participants also made more errors when transcribing English.

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Ljubic SSalkanovic A(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
https://doi.org/10.3390/math11112550
Gizatdinova YŠpakov OTuisku OTurk MSurakka V(2023)Vision-Based Interfaces for Character-Based Text EntryAdvances in Human-Computer Interaction10.1155/2023/88557642023Online publication date: 1-Jan-2023
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Chimkono TMphako-Banda ETaylor AKishindo P(2021)A Usability Study of the Central-Bantu Multilingual KeyboardsInternational Journal of Human–Computer Interaction10.1080/10447318.2021.1895530(1-15)Online publication date: 29-Apr-2021
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Published In

NordiCHI '04: Proceedings of the third Nordic conference on Human-computer interaction

October 2004

472 pages

ISBN:1581138571

DOI:10.1145/1028014

General Chair:
Roope Raisamo

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 October 2004

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NordiCHI04

NordiCHI04: NordiCHI 2004

October 23 - 27, 2004

Tampere, Finland

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Overall Acceptance Rate 379 of 1,572 submissions, 24%

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Ljubic SSalkanovic A(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
https://doi.org/10.3390/math11112550
Gizatdinova YŠpakov OTuisku OTurk MSurakka V(2023)Vision-Based Interfaces for Character-Based Text EntryAdvances in Human-Computer Interaction10.1155/2023/88557642023Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1155/2023/8855764
Chimkono TMphako-Banda ETaylor AKishindo P(2021)A Usability Study of the Central-Bantu Multilingual KeyboardsInternational Journal of Human–Computer Interaction10.1080/10447318.2021.1895530(1-15)Online publication date: 29-Apr-2021
https://doi.org/10.1080/10447318.2021.1895530
Wimmer CSchlögl RKappel KGrechenig TPaternò FJacucci GRohs MSantoro C(2019)Measuring mobile text entry performance and behaviour in the wild with a serious gameProceedings of the 18th International Conference on Mobile and Ubiquitous Multimedia10.1145/3365610.3365633(1-11)Online publication date: 26-Nov-2019
https://dl.acm.org/doi/10.1145/3365610.3365633
Tuisku ORantanen VSurakka VQvarfordt PHansen D(2016)Longitudinal study on text entry by gazing and smilingProceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications10.1145/2857491.2857501(253-256)Online publication date: 14-Mar-2016
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Räihä K(2015)Life in the Fast Lane: Effect of Language and Calibration Accuracy on the Speed of Text Entry by GazeHuman-Computer Interaction – INTERACT 201510.1007/978-3-319-22701-6_30(402-417)Online publication date: 30-Aug-2015
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Sanchis-Trilles GLeiva LQuigley ADiamond SIrani PSubramanian S(2014)A systematic comparison of 3 phrase sampling methods for text entry experiments in 10 languagesProceedings of the 16th international conference on Human-computer interaction with mobile devices & services10.1145/2628363.2634229(537-542)Online publication date: 23-Sep-2014
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Rough DVertanen KKristensson PPaolini PGarzotto F(2014)An evaluation of Dasher with a high-performance language model as a gaze communication methodProceedings of the 2014 International Working Conference on Advanced Visual Interfaces10.1145/2598153.2598157(169-176)Online publication date: 27-May-2014
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Polacek OSporka AButler B(2013)Improving the methodology of text entry experiments2013 IEEE 4th International Conference on Cognitive Infocommunications (CogInfoCom)10.1109/CogInfoCom.2013.6719232(155-160)Online publication date: Dec-2013
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Phrase sets for evaluating text entry techniques

The potential of dwell-free eye-typing for fast assistive gaze communication

iText: Hands-free Text Entry on an Imaginary Keyboard for Augmented Reality Systems

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