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LanguageLogger : A Mobile Keyboard Application for Studying Language Use in Everyday Text Communication in the Wild

Title data

Bemmann, Florian ; Buschek, Daniel:
LanguageLogger : A Mobile Keyboard Application for Studying Language Use in Everyday Text Communication in the Wild.
In: Proceedings of the ACM on Human-Computer Interaction. Vol. 4 (June 2020) Issue EICS . - No. 84.
ISSN 2573-0142
DOI: https://doi.org/10.1145/3397872

Project information

Project title:
Project's official titleProject's id
AI Tools - Continuous Interaction with Computational Intelligence ToolsNo information

Project financing: Bayerisches Staatsministerium für Wissenschaft, Forschung und Kunst

Abstract in another language

We present a concept and tool for studying language use in everyday mobile text communication (e.g. chats). Our approach for the first time enables researchers to collect comprehensive data on language use during unconstrained natural typing (i.e. no study tasks) without logging readable messages to preserve privacy. We achieve this with a combination of three customisable text abstraction methods that run directly on participants' phones. We report on our implementation as an Android keyboard app and two evaluations: First, we simulate text reconstruction attempts on a large text corpus to inform conditions for minimising privacy risks. Second, we assess people's experiences in a two-week field deployment (N=20). We release our app as an open source project to the community to facilitate research on open questions in HCI, Linguistics and Psychology. We conclude with concrete ideas for future studies in these areas.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: linguistics; language use; data logging; touch keyboard
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 22 Jun 2020 09:07
Last Modified: 22 Jun 2020 09:07
URI: https://eref.uni-bayreuth.de/id/eprint/55570