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

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