Contextualizing Smartphone-Typed Language With User Input Intention

Titelangaben

Bemmann, Florian ; Koch, Timo K. ; Bergmann, Maximilian ; Stachl, Clemens ; Buschek, Daniel ; Schoedel, Ramona ; Mayer, Sven:
Contextualizing Smartphone-Typed Language With User Input Intention.
In: Proceedings of the Mensch Und Computer 2025. - New York, NY, USA : Association for Computing Machinery , 2025 . - S. 520-526
ISBN 979-8-4007-1582-2
DOI: https://doi.org/10.1145/3743049.3748537

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Abstract

While the study of smartphone-typed language offers valuable insights for HCI and interdisciplinary research, existing data collection methods often fall short in providing context. Contextualizing text contents solely by the input target app does not allow for selecting them by the actual input intention of the user (e.g., sending a direct message, publishing a post). We present a method to study smartphone-typed language in the wild, which extracts the user’s input intention from a text field’s prompt text. Our approach enables distinguishing language contents by their channel (i.e., comments, messaging, search inputs), which allows filtering and pre-selecting text contents by the user’s input intention and type of language. We provide software libraries and the underlying categorization schema of our method. Researchers can apply this on-device in studies relying on smartphone-typed language. We outline which further opportunities for adaptation our general procedure motivates, to facilitate interdisciplinary studies in the wild.