摘要 : The interface serves as the primary channel for interaction between users and mobile apps, making interface design critical for a successful user experience. To enhance the design language of app interfaces, motion graphics have been used due to their unique appeal. However, mobile usage patterns and interface sizes pose challenges in transmitting information effectively. Thus, the question of how to effectively apply motion graphics to meet users' needs and reflect design value remains a pressing concern for interface designers. To address this, this study focuses on the research of dynamic icons in app interfaces and employs the user's cognitive mechanism as a theoretical basis to explore the influence boundary of dynamic icons' core feature. Specifically, an eye-tracking experiment was conducted to study the impact of dynamic icon attention under various experimental conditions. Through the analysis of the distribution characteristics of user attention, it was found that the influence of dynamic icons on user attention varied with changes in the number of dynamic icons. Moreover, the number of dynamic icons played a significant role in regulating changes in a user's information processing mode. These changes ultimately affect the attention of dynamic icons. This research provides a crucial point of reference for future motion graphics interface design and implementation, as well as a more efficient way to enhance user experiences in mobile app user interfaces.

摘要 : No matter what the different cultural backgrounds are, they will always collide and generate divergence on the same point of intersection and then continue moving forward in the direction of collective cognition. At present, the global world is facing severe pestilence disasters' China Art Circle made many responses immediately at the beginning of the epidemic situation and tried to fight the epidemic situation, encourage the front-line medical staff and provide energy for them. However, when the epidemic situation in China trends to calm, the art theme about the epidemic situation also suddenly keeps silent. It looks like calm without great waves' however, through investigating Western art, it is found that the Western Art Circle has different orientations on the attitude to disasters' considering its inner core, it maps the further understanding of groups with different cultural backgrounds on the cognition of other shores of life- different life and death idea influence the social outlook, view of life and expectation of life fate of different groups. Meanwhile, they also promote the society to show different introspection paths while facing disasters. The study uses empirical analysis to identify and collect the image information from classical paintings of the East and the West. The results show that compared with Western art, Chinese art conveys a message that focuses more on maintaining the country's stability.

摘要 : Evacuation behavior is an important factor which must be considered in the design of public structures. With the continuous complexity of structure, more and more factors should be considered in evacuation. The traditional design based on experience may have some limitations in practice. Based on the deep neural network model, the evacuation design simulation for subway station buildings is implemented. VR video tracking technologies such as auxiliary image data pre-training algorithm, tracking sequence pre-training algorithm, and recursive neural network model based on You Only Look Once (YOLO) are introduced. Compared with the convolutional neural network (CNN) model, the classified data set pre-training model, and YOLO algorithm, the accuracy and training speed of the model algorithm are verified. In simulation, the Zhujiang New Town Station in Guangzhou is taken as the object. The initial evacuation test point is selected according to the structure of the subway platform, and the test personnel are selected according to the test requirements. The average evacuation time and the average satisfaction score of the testers under the influence factors such as gender, age, subway frequency, and familiarity with VR equipment, as well as under the initial starting points of different evacuation tests. The results show that the accuracy of the algorithm is lower than that of the CNN, but the training speed is faster. The accuracy of the model based on YOLO recurrent neural network is the highest. Although the training speed is 19 ms, which is higher than other models, the overall performance is the best. Differences in factors such as gender, age, frequency of subway ride, and familiarity with VR devices will result in different differences in average evacuation time and average satisfaction score. When the platform center is used as the initial evacuation point, the average evacuation time is the shortest, and the average satisfaction score of the testers is the highest. In conclusion, through VR video tracking technology, the actual situation of subway station buildings can be well simulated, and further design schemes can be made according to the simulated situation, which has practical reference significance.

摘要 : Community as a unit of society, should be the starting aim of university education. This paper aims to explore the design education methods based on community service and collaborative innovation. The service design tools are introduced into the improvement and innovation of community business system through the practice of design course to improve and innovate local business community. Business community map and business contact point are created to quickly locate pain points and needs of business community and improved and innovation models are developed for providing more effective services. On this basis, the transformation in educational achievement for community service can be realized.