Diversity Analysis of Smart Home User Interface Design

Due to the rapid development of the Internet of Things (IoTs), more and more users are demanding to operate and experience smart devices at home. Smart home control provides richer content and functions than the traditional single smart home software, and the richness of the control content leads to a more interactive and complex interface. These interfaces require more complex cooperation between users and interactive systems and put forward more scientific requirements for the organization and presentation of information. People increasingly need intuitive interfaces to facilitate and manage complex smart home central control systems in a friendly manner. As the information carried by the smart home control interface becomes more and more diverse, the user interface design becomes more and more complicated, therefore, users are faced with the need to find the required content in a large amount of information when operating the smart home control interface, effectively improving the visual search efficiency and reducing the cognitive load have become urgent problems to be solved.Design complexity is also important to determine how easy it is for users to search for icons on the user interface. It is important to understand the impact of interface complexity on users in smart homes, and it is necessary to carry out design complexity research on their GUI. The existing literature on the effects of interface visual complexity on user performance is inconsistent. Low complexity will improve operational efficiency and processing fluency, medium complexity will reduce the load on visual attention and thus increase purchase intention, and high complexity will promote more positive responses, but it will also increase user cognitive load. Although many studies have been conducted on the complexity of interface vision, the results have not been consistent. To sum up, there is no consensus on the impact of dynamic icons on the complexity of visual design. Therefore, this study collected data such as user operation performance and subjective evaluation through experiments to measure the influence between icon dynamic effect and design complexity.In this study, a 2X3 two-way analysis of variance ANOVA (N=48) was used to investigate the influence of cognitive load on users operating the control interface in smart home under different situations of design complexity (low, medium, high) and icon state (static, dynamic). The experimental results are as follows: (1) The higher the design complexity, the more cognitive load can be increased; (2) In simple tasks, the icon status does not affect the user's cognitive load; (3) User cognitive load is influenced by design complexity and icon status.