目的 为提升自动驾驶公交的用户体验,基于改进Kano-AHP模型和可供性理论深入分析用户需求,得出促成可供性体验的设计要素,从而提高产品的可用性与易用性。方法 首先通过问卷调查和用户访谈获取用户需求的初始描述,并借助功能、认知、物理、感官和情感可供性5种分类归纳提取设计要素;其次,运用改进的Kano模型对设计要素进行量化处理和筛选,借助层次分析法确定各设计要素的重要性排序;最后,将符合用户心理预期的设计要素转化为具体的设计策略模型,并应用于设计实践中。结论 将改进Kano模型、层次分析法与可供性理论相结合,能够有效探讨促进用户乘车可供性体验的设计策略,并为自动驾驶公交车的用户体验优化提供了有益的设计参考和理论依据。
Abstract
To improve the user experience of autonomous buses, the work aims to analyze user needs based on the improved Kano-AHP model and affordance theory, and derive design elements contributing to the availability experience to improve the usability and ease of use of the product. The initial description of user needs was obtained through questionnaires and user interviews, and design elements were summarized and extracted into five categories: functional, cognitive, physical, sensory, and emotional availability. The improved Kano model was employed to quantify and filter the design elements, while hierarchical analysis was used to determine the importance ranking of each element. Finally, the design elements in align with users' psychological expectations were translated into specific design strategy models and applied in practice. In conclusion, the improved Kano model, hierarchical analysis, and affordance theory can be integrated to explore the design strategies for enhancing the user experience of ride availability, providing valuable design references and theoretical foundations for optimizing the user experience of autonomous buses.
关键词
层次分析法 /
改进Kano模型 /
可供性理论 /
自动驾驶公交车 /
用户体验
Key words
analytic hierarchy process /
improved Kano model /
affordance theory /
autonomous bus /
user experience
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