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S-BRAIN #12: Usability Analysis with Electroencephalographic Signals Integration

Show simple item record Oliveira, I. 2016-11-04T16:08:07Z 2016-11-04T16:08:07Z June 2011
dc.identifier.citation S-Brain series 2010/2011
dc.description.abstract The integration of physiological signals in computing systems is an unavoidable step to reach a greater and better adaptation between users and applications. The concept of coupled interaction suggests that users cannot be faced as simple “black boxes” that interact subjectively with applications. The cognitive and emotional users state recognition will allow adapting applications based on information produced by users intrinsic data. Brain-computer interfaces are a common useful example of this king of applications. Neuroergonomy is also another related and recent research area, which uses neurophysiologic signals to study brain behavior in everyday real world situations context, such as aviation fatigue detection. Generalizing this concept to interaction design and usability tests takes us to the research study that is being presented: to process electroencephalograms for analyzing aspects related with usability. The possibility of studying applications interface ergonomy, based on information that is being produced from users own physical processes, will contribute to achieve a better objectivity and accuracy in interaction design related studies. Electroencephalograms reveal characteristic patterns that vary with mental states and can be recognized. This choice, in detriment of other neurophysiologic measures, comes from its relatively low cost capture, non invasiveness and quite good temporal resolution, making it an ideal signal for real time analysis
dc.title S-BRAIN #12: Usability Analysis with Electroencephalographic Signals Integration

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