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

Evaluating human-computer interaction is essential as a broadening population machines, sometimes in sensitive contexts. However, traditional evaluation may fail to combine real-time measures, an "objective" approach and contextualization. In this review we look at how adding neuroimaging can respond to such needs. We focus on electroencephalography (EEG), it could be handled effectively during a dedicated evaluation phase. We workload, attention, vigilance, fatigue, error recognition, emotions,, flow and immersion as being recognizable by EEG. We find that, attention and emotions assessments would benefit the most from EEG., we advocate to study further error recognition through neuroimaging enhance usability and increase user experience.