Framework for Electroencephalography-based Evaluation of User Experience

Jérémy Frey 1 Maxime Daniel 2 Julien Castet 2 Martin Hachet 1 Fabien Lotte 1
1 Potioc - Popular interaction with 3d content
LaBRI - Laboratoire Bordelais de Recherche en Informatique, Inria Bordeaux - Sud-Ouest
2 Immersion [Bordeaux]
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.
Keywords : Workload HCI Evaluation EEG Attention Interaction errors Neuroergonomy
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Conference papers
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https://hal.inria.fr/hal-01251014
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Submitted on : Friday, January 8, 2016 - 10:11:00 PM
Last modification on : Thursday, January 16, 2020 - 11:33:43 AM
Long-term archiving on: Thursday, November 10, 2016 - 10:39:07 PM

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Jérémy Frey, Maxime Daniel, Julien Castet, Martin Hachet, Fabien Lotte. Framework for Electroencephalography-based Evaluation of User Experience. CHI '16 - SIGCHI Conference on Human Factors in Computing System, May 2016, San Jose, United States. ⟨10.1145/2858036.2858525⟩. ⟨hal-01251014⟩

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