Identification of Preferred Product Image under the Visual Cognitive Neural Mechanism
(0) In order to improve the objectivity of the measurement of preferred product image, eye-tracking combined with EEG technology was used to locate users preferred image of products. The method included the following steps: (1) Product samples and image words of the subjects as stimuli materials were imported into the computers picture viewing module, which displayed the product samples or image words; (2) Participants watched the stimuli materials; (3) Eye movements and EEG data were collected by telemetry eye-tracker and electroencephalograph according to the reaction of participants when they watched the stimuli materials; (4) Preferred image was obtained by comprehensive evaluation of the average gaze duration of eye movements data and the asymmetry index of frontal alpha of EEG data. The experimental results show that the image words of “Complex-Concise, “Retro-Modern, “Smart-Heavy, “Lively-Serious caused participants average gaze duration to be shorter than other words. Moreover, the power of alpha waves captured by the left frontal channel (F3) was significantly lower than the average power of the alpha waves captured by the right frontal channel (F4) when participants observed the image words of “Concise, “Gorgeous, “Modern, “Smart, “Lively. It shows that users preferred image of perceptual products can be obtained more scientifically and effectively by using the combined physiological measurement technologies of eye-tracking and EEG, and reference can be provided for design applications based on users preferred image in silver jewelry.
Eye-tracking technology EEG technology perceptual image preferred image
Yang Chen Li Lin Zhiang Chen
Key Laboratory of Advanced Manufacturing Technology, Ministry of Education,Guizhou University, Guizh 2School of Mechanical Engineering, Guizhou University, Guizhou, China
国际会议
成都
英文
1-9
2018-10-30（万方平台首次上网日期，不代表论文的发表时间）