Authors:
Jérémy Frey
1
;
Christian Mühl
2
;
Fabien Lotte
2
and
Martin Hachet
2
Affiliations:
1
Univ. Bordeaux, CNRS and INRIA, France
;
2
INRIA, France
Keyword(s):
HCI evaluation, EEG, ErrP, Workload, Attention, Emotions.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Biomedical Instruments and Devices
;
Biosignal Acquisition, Analysis and Processing
;
Brain-Computer Interfaces
;
Collaboration and e-Services
;
Devices
;
e-Business
;
Enterprise Information Systems
;
Human-Computer Interaction
;
Methodologies and Methods
;
Observation, Modeling and Prediction of User Behavior
;
Physiological Computing Systems
;
Usability
;
Usability and Ergonomics
;
Web Information Systems and Technologies
;
Web Interfaces and Applications
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.