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.
@article{arxiv.1601.02768,
title = {Framework for Electroencephalography-based Evaluation of User Experience},
author = {Jérémy Frey and Maxime Daniel and Julien Castet and Martin Hachet and Fabien Lotte},
journal= {arXiv preprint arXiv:1601.02768},
year = {2016}
}
Comments
in ACM. CHI '16 - SIGCHI Conference on Human Factors in Computing System, May 2016, San Jose, United States