Towards Prediction of User Experience from Touch Interactions with Mobile Applications
Published in International Conference on Human-Computer Interaction (HCII), 2017
Trahms, C., Möller, S. & Voigt-Antons, J.-N.
In 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.
Recommended citation: 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