Decision-Making for Product Form Image Based on ET-EEG Technology
Source abstract
Abstract
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.
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Research context
OpenAlex topics: Color perception and design · Image Processing and 3D Reconstruction
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Mechatronic Engineering, North Minzu University, Yinchuan 750021, China
School of Architecture and Art Design, Lanzhou University of Technology, Lanzhou 730050, China
School of Mechanical and Electrical Engineering, Lanzhou University of Technology, Lanzhou 730050, China
Funding
General Scientific Research Project (Natural Science & Engineering Category) of North Minzu University · Ningxia Natural Science Foundation Project
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