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Typing Behavior is About More than Speed : Users' Strategies for Choosing Word Suggestions Despite Slower Typing Rates

Titelangaben

Lehmann, Florian ; Kornecki, Itto ; Buschek, Daniel ; Feit, Anna Maria:
Typing Behavior is About More than Speed : Users' Strategies for Choosing Word Suggestions Despite Slower Typing Rates.
In: Proceedings of the ACM on Human-Computer Interaction. Bd. 7 (2023) Heft MHCI . - 229.
ISSN 2573-0142
DOI: https://doi.org/10.1145/3604276

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AI Tools - Continuous Interaction with Computational Intelligence Tools
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Abstract

Mobile word suggestions can slow down typing, yet are still widely used. To investigate the apparent benefits beyond speed, we analyzed typing behavior of 15,162 users of mobile devices. Controlling for natural typing speed (a confounding factor not considered by prior work), we statistically show that slower typists use suggestions more often but are slowed down by doing so. To better understand how these typists leverage suggestions — if not to improve their speed — we extract eight usage strategies, including completion, correction, and next-word prediction. We find that word characteristics, such as length or frequency, along with the strategy, are predictive of whether a user will select a suggestion. We show how to operationalize our findings by building and evaluating a predictive model of suggestion selection. Such a model could be used to augment existing suggestion algorithms to consider people's strategic use of word predictions beyond speed and keystroke savings.

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Publikationsform: Artikel in einer Zeitschrift
Begutachteter Beitrag: Ja
Keywords: mobile text entry; intelligent text entry methods; word suggestion; typing; text entry; word prediction
Institutionen der Universität: Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik
Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Angewandte Informatik IX > Lehrstuhl Angewandte Informatik IX - Univ.-Prof. Dr. Daniel Buschek
Fakultäten
Fakultäten > Fakultät für Mathematik, Physik und Informatik
Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Angewandte Informatik IX
Titel an der UBT entstanden: Ja
Themengebiete aus DDC: 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik
Eingestellt am: 18 Sep 2023 11:04
Letzte Änderung: 08 Feb 2024 13:02
URI: https://eref.uni-bayreuth.de/id/eprint/86872