基于用户行为的扫地机器人APP体验优化方法研究

Application Experience Optimization of Sweeping Robot Based on User Behavior

中文关键词: 行为分析  扫地机器人  交互体验  需求分析  可用性量化

英文关键词: behavior analysis  sweeping robot  interactive experience  demand analysis  usability quantification

中文摘要:

      目的 通过对家用情境下用户使用扫地机器人的行为分析获取用户各项需求被满足情况，从而有针对性地制定扫地机器人交互体验优化策略，提升用户交互体验。方法 首先，基于桌面研究、清洁行为观察分析等方法得到家用扫地机器人APP现有功能与用户潜在需求功能，通过KANO模型对功能集进行优先层级排序;然后，对现有功能中优先级较高的进行可用性水平测试，并针对可用性不足的功能进行情境下交互行为分析，挖掘扫地机器人APP现有功能中影响交互体验的具体问题。从而形成交互体验优化策略并通过设计实践案例进行有效性验证。结果 优化后的扫地机器人APP可用性因子有不同程度的提高，证明了方法的有效性。结论 该方法可以帮助开发者科学、高效、准确地选择产品功能优化对象，并系统地获取用户在与扫地机器人交互中的不足，辅助扫地机器人交互迭代设计，提升用户体验。

英文摘要:

      To obtain the satisfaction of the user's various needs through the analysis and research on the behavior of the user using the sweeping robot in the home situation,, so as to formulate the interactive experience optimization strategy of the sweeping robot and improve the user's APP interactive experience. First, based on methods such as desktop research, cleaning behavior observation, etc., the existing functions of the household sweeping robot APP and the potential user requirements were obtained, and the function set was prioritized through the KANO model; then, the higher priority of the existing functions was performed Usability level test, and conduct contextual interaction behavior analysis for functions with insufficient usability, and explore specific issued affecting the interactive experience in the existing functions of the sweeping robot APP. So as to form an interactive experience optimization strategy and verify its effectiveness through design practice cases. The availability factor of the optimized sweeping robot APP had been improved to varying degrees, which proved the effectiveness of the method. This method can help developers to scientifically, efficiently and accurately select product function optimization objects, and systematically obtain users' shortcomings in the interaction with the sweeping robot, assisting the iterative design of sweeping robot interaction, and improving user experience.