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Review of the Use of Electroencephalography as an Evaluation Method for Human-Computer Interaction

Jérémy Frey 1, 2, * Christian Mühl 1 Fabien Lotte 1, 2 Martin Hachet 1, 2
* Corresponding author
1 Potioc - Popular interaction with 3d content
LaBRI - Laboratoire Bordelais de Recherche en Informatique, Inria Bordeaux - Sud-Ouest
Abstract : Evaluating human-computer interaction is essential as a broadening population uses machines, sometimes in sensitive contexts. However, traditional evaluation methods may fail to combine real-time measures, an "objective" approach and data contextualization. In this review we look at how adding neuroimaging techniques can respond to such needs. We focus on electroencephalography (EEG), as it could be handled effectively during a dedicated evaluation phase. We identify workload, attention, vigilance, fatigue, error recognition, emotions, engagement, flow and immersion as being recognizable by EEG. We find that workload, attention and emotions assessments would benefit the most from EEG. Moreover, we advocate to study further error recognition through neuroimaging to enhance usability and increase user experience.
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Submitted on : Friday, November 8, 2013 - 7:54:43 PM
Last modification on : Monday, December 20, 2021 - 4:50:14 PM
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Jérémy Frey, Christian Mühl, Fabien Lotte, Martin Hachet. Review of the Use of Electroencephalography as an Evaluation Method for Human-Computer Interaction. PhyCS - International Conference on Physiological Computing Systems, Jan 2014, Lisbonne, Portugal. ⟨10.5220/0004708102140223⟩. ⟨hal-00881756⟩



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