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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| Items | – Name: Title Label: Title Group: Ti Data: Decision-Making for Product Form Image Based on ET-EEG Technology. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Shi%2C+Huaixi%22">Shi, Huaixi</searchLink><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Shutao%22">Zhang, Shutao</searchLink><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Qinwei%22">Zhang, Qinwei</searchLink><br /><searchLink fieldCode="AR" term="%22Liu%2C+Shifeng%22">Liu, Shifeng</searchLink><br /><searchLink fieldCode="AR" term="%22Qiu%2C+Kai%22">Qiu, Kai</searchLink> – Name: TitleSource Label: Source Group: Src Data: Applied Sciences (2076-3417); Oct2025, Vol. 15 Issue 20, p10979, 19p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Eye+tracking%22">Eye tracking</searchLink><br /><searchLink fieldCode="DE" term="%22Cognition%22">Cognition</searchLink><br /><searchLink fieldCode="DE" term="%22Consumer+behavior%22">Consumer behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Product+design%22">Product design</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+perception%22">Visual perception</searchLink><br /><searchLink fieldCode="DE" term="%22Neurophysiology%22">Neurophysiology</searchLink><br /><searchLink fieldCode="DE" term="%22Neurotechnology+%28Bioengineering%29%22">Neurotechnology (Bioengineering)</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Applied Sciences (2076-3417) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app152010979 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 10979 Subjects: – SubjectFull: Eye tracking Type: general – SubjectFull: Cognition Type: general – SubjectFull: Consumer behavior Type: general – SubjectFull: Product design Type: general – SubjectFull: Visual perception Type: general – SubjectFull: Neurophysiology Type: general – SubjectFull: Neurotechnology (Bioengineering) Type: general – SubjectFull: Decision making Type: general Titles: – TitleFull: Decision-Making for Product Form Image Based on ET-EEG Technology. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Shi, Huaixi – PersonEntity: Name: NameFull: Zhang, Shutao – PersonEntity: Name: NameFull: Zhang, Qinwei – PersonEntity: Name: NameFull: Liu, Shifeng – PersonEntity: Name: NameFull: Qiu, Kai IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 10 Text: Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 15 – Type: issue Value: 20 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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