Résumé:
User experience (UX) evaluation often relies on subjective questionnaires with bias and limited temporal resolution. We propose a multimodal framework combining electroencephalography (EEG), electromyography, electrocardiography, photoplethysmography, and video to objectively assess UX. Here we present methods and results of UX evaluation of simulated driving with Android Auto based on EEG (Theta Band Power). Twenty-one participants performed a simulated driving task with and without a secondary interface (Android Auto). Post-session questionnaires included NASA-TLX, PSSUQ-3, and SAM. Theta power differentiated task vs. non-task periods (p < 0.01), but not subtasks, and was negatively correlated with SAM control (? = ?0.56, p < 0.001), suggesting higher perceived control with lower cognitive demand.
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