Towards prediction of user experience from touch interactions with mobile applications

Abstract

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.

BibTeX

@inproceedings{voigtantons2017c42,
  author    = {Trahms, C. and Möller, S. and Voigt-Antons, J.-N.},
  title     = {Towards prediction of user experience from touch interactions with mobile applications},
  year      = {2017},
  booktitle = {Poster presented at the International Conference on Human-Computer Interaction (HCII), Vancouver, Canada},
  doi       = {10.1007/978-3-319-58753-0_72},
}