Academic Journal
Decision-Making for Product Form Image Based on ET-EEG Technology.
| Τίτλος: | Decision-Making for Product Form Image Based on ET-EEG Technology. |
|---|---|
| Συγγραφείς: | Shi, Huaixi, Zhang, Shutao, Zhang, Qinwei, Liu, Shifeng, Qiu, Kai |
| Πηγή: | Applied Sciences (2076-3417); Oct2025, Vol. 15 Issue 20, p10979, 19p |
| Θεματικοί όροι: | Eye tracking, Cognition, Consumer behavior, Product design, Visual perception, Neurophysiology, Neurotechnology (Bioengineering), Decision making |
| Περίληψη: | The use of neurophysiological data to acquire product image avoids the inherent subjectivity in the empirical design process. In this paper, we use eye tracking–electroencephalography (ET-EEG) to study mapping among user behaviour, eye movements, EEG features and image decisions in the process of product form cognition. First, we designed an ET-EEG experiment using hair dryer stimuli, with morphology rated on a Likert scale. Then, ET-EEG data were categorized according to image category: "unambiguous (matching)", "unambiguous (mismatching)", "ambiguous (positive)", or "ambiguous (negative)". Finally, the behavioural data, eye movement indicators, and event-related potentials (ERPs) were analysed to parse the cognitive features. The behavioural, ET and ERP data were highly consistent, and their values increased as the cognition resources devoted to decision-making increased. ET-EEG physiological data thus objectively and effectively reflected users' image cognition of products, providing theoretical support for design research on the origin of cognition. [ABSTRACT FROM AUTHOR] |
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| Βάση Δεδομένων: | Complementary Index |
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