Towards prediction of user experience from touch interactions with mobile applications
Trahms, C., Möller, S. & Voigt-Antons, J.-N.
Poster presented at the International Conference on Human-Computer Interaction (HCII), Vancouver, Canada, July 2017
Summary
This poster examines whether low-level touch features collected during regular app use can predict subjective user experience. By extracting temporal and spatial characteristics from taps and gestures, regression models explained variance in perceived usability and satisfaction without explicit questionnaires. Findings motivate passive UX sensing pipelines for large-scale field studies.
Written for this site, the published abstract is at the DOI.
Cite as
Trahms, C., Möller, S. & Voigt-Antons, J.-N. (2017, July). Towards prediction of user experience from touch interactions with mobile applications. Poster presented at the International Conference on Human-Computer Interaction (HCII), Vancouver, Canada. https://doi.org/10.1007/978-3-319-58753-0_72
