Abstract : Measuring brain activity with electroencephalography (EEG) is mature enough to assess mental states. Combined with existing methods, such tool can be used to strengthen the understanding of user experience. We contribute a set of methods to estimate continuously the user's mental workload, attention and recognition of interaction errors during different interaction tasks. We validate these measures on a controlled virtual environment and show how they can be used to compare different interaction techniques or devices, by comparing here a keyboard and a touch-based interface. Thanks to such a framework, EEG becomes a promising method to improve the overall usability of complex computer systems.
https://hal.inria.fr/hal-01251014
Contributeur : Jérémy Frey <>
Soumis le : vendredi 8 janvier 2016 - 22:11:00
Dernière modification le : mercredi 27 avril 2016 - 10:30:35
Document(s) archivé(s) le : jeudi 10 novembre 2016 - 22:39:07
Jérémy Frey, Maxime Daniel, Julien Castet, Martin Hachet, Fabien Lotte. Framework for Electroencephalography-based Evaluation of User Experience. ACM. CHI '16 - SIGCHI Conference on Human Factors in Computing System, May 2016, San Jose, United States. <https://chi2016.acm.org/>. <10.1145/2858036.2858525>. <hal-01251014>
