"Usability Testing based on the Cognitive Mismatch EEG Signals"

This paper describes how electroencephalogram (EEG) signals can be utilized in usability testing, especially for evaluating the cognitive mismatch between a user’s mental model and an appliance’s working model.

We aim to evaluate the usability of information appliances that interact with users. In addition to traditional usability testing, it is necessary to consider the user’s mental state, that is, how users understand and predict an appliance’s response.

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