The measure of brain activity by the mean of 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 various constructs, such as workload, attention level and the recognition of interaction errors. We validate these measures on a controlled virtual environment and show how they can be used to compare interaction techniques and interfaces. Thanks to such framework, EEG becomes a promising method to improve the overall usability of computer systems.
This work had been the starting point of my thesis – before I delved more into how physiological computing could not only enhance existing interfaces, but create brand new ways to interact with people. Here the goal is to give a clear and detailed method for any HCI researcher to benefit from EEG. See also our estimation of visual comfort with stereoscopic displays.
- Frey, Jérémy, Daniel, Maxime, Castet, Julien, Hachet, Martin and Lotte, Fabien (2016). Framework for electroencephalography-based evaluation of user experience. ACM Conference on Human Factors in Computing Systems (CHI '16).
- Wobrock, Dennis, Frey, Jérémy, Graef, Delphine, de la Rivière, Jean-Baptiste, Castet, Julien and Lotte, Fabien (2015). Continuous Mental Effort Evaluation during 3D Object Manipulation Tasks based on Brain and Physiological Signals. INTERACT (INTERACT '15).
- Frey, Jérémy, Mühl, Christian, Lotte, Fabien and Hachet, Martin (2014). Review of the use of electroencephalography as an evaluation method for human-computer interaction. International Conference on Physiological Computing Systems (PhyCS '14).