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In order to convey bionic image semantics of the intelligent projection TV efficiently and accurately, and improve the matching of users' perceptual cognitive needs with the bionic image of intelligent projection TV. An image coupling bionic design method was proposed. Firstly, the intelligent projection TV target image was obtained by KJ, Semantic difference method (SD) and K-means clustering method. Secondly, the primary, secondary and general target images were distinguished by anallytic hierarchy process(AHP), and the bionic prototype was selected according to the coupling of the primary target images. Thirdly, by means of morphological analysis and AHP, the decline structure of multi-feature coupled images was established and the judgment matrix was constructed. The contribution of coupled image of biological features was obtained. The main features were integrated into the intelligent projection TV styling to form a visual scheme. Finally, the reliability of image coupling styling method was verified by Delphi and fuzzy comprehensive evaluation method. The research process provides a reference for related product innovation design.

In order to convey bionic image semantics of the intelligent projection TV efficiently and accurately, and improve the matching of users′ perceptual cognitive needs with the bionic image of intelligent projection TV. An image coupling bionic design method was proposed. Firstly, the intelligent projection TV target image was obtained by KJ, Semantic difference method（SD） and K-means clustering method. Secondly, the primary, secondary and general target images were distinguished by anallytic hierarchy process（AHP）, and the bionic prototype was selected according to the coupling of the primary target images. Thirdly, by means of morphological analysis and AHP, the decline structure of multi-feature coupled images was established and the judgment matrix was constructed. The contribution of coupled image of biological features was obtained. The main features were integrated into the intelligent projection TV styling to form a visual scheme. Finally, the reliability of image coupling styling method was verified by Delphi and fuzzy comprehensive evaluation method. The research process provides a reference for related product innovation design. [ABSTRACT FROM AUTHOR]

Despite the high usage of diagrams and images in Wikipedia, as well as across all Wikimedia projects, few studies have been conducted on the role of visual contents within the online encyclopedia and on the collaborative creation of diagrams. This article describes research that brought a group of designers into Wikipedia, with the goal of exploring how information designers act on this platform and how other users react to their involvement. Inspired by the WikiEdu Program, we engaged postgraduate design students in the creation of diagrams for Wikipedia and then followed the reactions of both users and designers to their work. The results of the experiment have been evaluated using built-in Wikipedia functions (e.g., page history and discussion pages) and through an anonymous survey among the students involved. This experience brought to light the different consideration granted to images and diagrams with respect to texts on the online encyclopedia. It also allowed a reflection on the role of designers in the knowledge production process, as well as on the meaning of producing "open" contents, which are meant to be improved by other people. [ABSTRACT FROM AUTHOR]