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  • 标题:Research on EEG-based Graphic User Interface Kansei Design Evaluation
  • 本地全文:下载
  • 作者:Hong Ren ; Chunyu Zhang ; Ningning Zhang
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2020
  • 卷号:179
  • 页码:1-6
  • DOI:10.1051/e3sconf/202017902103
  • 出版社:EDP Sciences
  • 摘要:Graphical user interface (GUI) is designed as the interaction medium between the user and the interface, and the perceptual experience of GUI design has been paid more and more attention by users. Based on the theory of perceptual engineering (KE), two groups of different visual style interfaces were taken as an example to record the EEG data when users watched two groups of visual interfaces, in order to explore the user's perceptual imagery and perceptual experience for the visual interface. It aims to meet the user's perceptual needs and provide an effective evaluation method and design basis for the graphical user interface design. Firstly, the EEG spectrogram and brain topographic maps were obtained by data analysis and processing. The results showed that the activity levels of the θ wave and α wave induced by the two groups of different visual style interfaces were significantly different. Secondly, this paper analyzed the user's perceptual imagery with GUI perceptual design elements, and concluded that the perceptual design elements of GUI would affect the user's cognitive interest and perceptual experience. GUI design should focus on the unity and coordination of perceptual design elements and perceptual imageries. Finally, it is concluded that the EEG-based perceptual design evaluation method can effectively evaluate the GUI visual interface.
  • 其他摘要:Graphical user interface (GUI) is designed as the interaction medium between the user and the interface, and the perceptual experience of GUI design has been paid more and more attention by users. Based on the theory of perceptual engineering (KE), two groups of different visual style interfaces were taken as an example to record the EEG data when users watched two groups of visual interfaces, in order to explore the user’s perceptual imagery and perceptual experience for the visual interface. It aims to meet the user’s perceptual needs and provide an effective evaluation method and design basis for the graphical user interface design. Firstly, the EEG spectrogram and brain topographic maps were obtained by data analysis and processing. The results showed that the activity levels of the θ wave and α wave induced by the two groups of different visual style interfaces were significantly different. Secondly, this paper analyzed the user’s perceptual imagery with GUI perceptual design elements, and concluded that the perceptual design elements of GUI would affect the user’s cognitive interest and perceptual experience. GUI design should focus on the unity and coordination of perceptual design elements and perceptual imageries. Finally, it is concluded that the EEG-based perceptual design evaluation method can effectively evaluate the GUI visual interface.
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