Exploring Mobile Touch Interaction with Large Language Models

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Zindulka, Tim ; Sekowski, Jannek Maximilian ; Lehmann, Florian ; Buschek, Daniel:
Exploring Mobile Touch Interaction with Large Language Models.
In: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. - New York, NY, USA : Association for Computing Machinery , 2025 . - 727
ISBN 979-8-4007-1394-1
DOI: https://doi.org/10.1145/3706598.3713554

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Abstract

Interacting with Large Language Models (LLMs) for text editing on mobile devices currently requires users to break out of their writing environment and switch to a conversational AI interface. In this paper, we propose to control the LLM via touch gestures performed directly on the text. We first chart a design space that covers fundamental touch input and text transformations. In this space, we then concretely explore two control mappings: spread-to-generate and pinch-to-shorten, with visual feedback loops. We evaluate this concept in a user study (N=14) that compares three feedback designs: no visualisation, text length indicator, and length + word indicator. The results demonstrate that touch-based control of LLMs is both feasible and user-friendly, with the length + word indicator proving most effective for managing text generation. This work lays the foundation for further research into gesture-based interaction with LLMs on touch devices.