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
Abstract
n this work a first attempt is made to model user experience ratings with recordings of touch interactions. To measure the user experience the AttrakDiff Mini questionnaire is used providing three quality dimensions: pragmatic quality, hedonic quality and attractiveness. The feature selection for linear models shows that it is possible to predict the pragmatic quality for a test set with an of up to 0.64. The hedonic quality and attractiveness, however, seem not to be reflected in these touch interactions in a linear way. Still, the results from this work constitute a promising direction for future research on assessing or even optimizing the user experience for apps automatically in real time.
Record
- Reference
[C42]in the Publikationsverzeichnis - TypeConference paper
- Year2017
- Research linePsychophysiology & Behavioural Measurement
- Identifier
2017-07-01-C42
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},
}