From the user’s perspective, emotional elements are increasingly being used in design. Researchers have indicated that healing landscapes in rural areas play a positive role in soothing human emotions. In this study, a landscape with healing functions was designed, and 32 subjects experienced emotions in a virtual reality (VR) scene while their 32-channel electroencephalography (EEG) signals were collected. This study compared the brain responses with and without the presence of healing landscape elements and conducted correlation coefficient analysis using eight different regression prediction models to examine the relationship between security, comfort, positivity, and corresponding healing landscape elements. The results show significant improvements in emotions of security, comfort, and positivity post-exposure to the landscape design, especially with certain elements, such as seating, shrubs, and tree pools. EEG data indicate enhanced emotional and cognitive states, particularly relaxation, with increased activity in specific brain regions. The decision tree regression model is the most suitable for our data. It reveals strong correlations between specific healing landscape elements and emotional responses. In the comfort category, “shrubs” show the highest correlation (R² = 0.82), while in the security category, “trees” have the highest correlation (R² = 0.77). Similarly, in the positivity category, “trees” again exhibit the highest correlation (R² = 0.71) with EEG data, indicating their significant impact on these emotional dimensions. This study demonstrates the importance of using scientific methods, such as EEG technology, to validate the principles of emotional design and also underscores the role of green environments in enhancing psychological health and emotional comfort.

This paper takes Nanlizhuang Village, Hebei Province, China, as the object and aims at improving the design of the street-space environment. The real scene of the rural streets is used as the stimulus material, and the difference in eye-movement data between villagers and tourists in the real environment is explored based on eye-tracking technology. This difference is taken as the guiding content for rural space design, and an optimized design strategy is put forward. It is found that visual attractiveness is not only affected by the visual rate of greenery but also closely related to changes in spatial enclosures. The combination of low walls and greenery is conducive to the formation of impression symbols in the village; the collective memory of indigenous villagers is also a major reason for changes in visual gravity. The experiment proves the feasibility of using real scenes as rural street design strategies through eye-tracking technology.

The operation of small and medium-sized clothing stores (SMCS) alleviates the excessive consumption of resources caused by e-commerce logistics. The display props that enhance the image of stores are important for SMCS. In this work, we use survey questionnaire, field experiment and statistical analysis of SPSS including Chi-square goodness-of-fit test, Chi-square test, Multiple Response and Contingency Table to analyze the use of display props in SMCS. Results are as follows: first, props in clothing stores will affect the consumers’ purchase decision, and the coordination of props can improve the sales of stores. Second, the store should pay attention to the aesthetics, interest and functionality of the display props. Third, the general methods of using props to promote SMCS’ sales include creating the display atmosphere, optimizing the space layout, strengthening the window image and enhancing the fitting experience.

As a traditional Chinese folk art, Yangliuqing Woodcut New Year (YWNY) paintings with unique artistic symbols and rich artistic values have formed varied artistic styles since century. The purpose of this study is to explore the innovative application of traditional folk art combined with other technologies in the field of fashion and art design. Through literature research and object investigation methods, this paper analyses the subject and artistic characteristics of YWNY paintings, classifies the paintings and creates an image bank. Using the image extraction technology, we extract the characteristic elements with cultural symbols and representative colours and construct the corresponding elements resource libraries. Based on the modern design aesthetic and clothing craft design means, YWNY paintings are flexibly applied to fashion design and other design fields. Fashion trends in combination with the elements in YWNY paintings create works that have regional characteristics, which achieve the creative transformation of Tianjin folk art in fashion clothing design.