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Conference papers
Framework for Electroencephalography-based Evaluation of User Experience
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.
Cited literature [34 references]
https://hal.inria.fr/hal-01251014
Contributor : Jérémy Frey <>
Submitted on : Friday, January 8, 2016 - 10:11:00 PM
Last modification on : Tuesday, April 7, 2020 - 11:48:04 PM
Document(s) archivé(s) le : Thursday, November 10, 2016 - 10:39:07 PM
Contributor : Jérémy Frey <>
Submitted on : Friday, January 8, 2016 - 10:11:00 PM
Last modification on : Tuesday, April 7, 2020 - 11:48:04 PM
Document(s) archivé(s) le : Thursday, November 10, 2016 - 10:39:07 PM
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