探索并建构一套面向智能座舱的车载机器人交互场景模型,为车载机器人交互设计提供可操作的理论框架和实践路径。采用扎根理论的三级编码方法,对已公开的13款产品样本及36例深度访谈资料进行系统编码,并基于编码结果构建分层递进的功能场景模型。开放编码生成39个范畴,经主轴编码归纳为15个主范畴,进一步归并为六大类功能场景：驾驶安全类、智能服务类、直接设置类、语音交互类、情感服务类和人主观交互类。选择性编码形成的理论模型呈现需求驱动、交互实现和体验升华的三级层级关系。智能车载机器人交互场景由安全性、功能性与情感性共同构成一个系统化框架。研究表明,安全保障是核心前提,功能实现是关键支撑,情感体验是价值延伸。该模型为智能座舱交互设计提供了结构化的理论依据,为未来智能车载机器人设计优化与应用实践提供指导。

The study aims to explore and construct an interaction scenario model for in-vehicle robots in intelligent cockpits, to offer both a theoretical framework and practical guidance for interaction design. The grounded theory was employed with a three-level coding approach to systematically analyze 13 publicly available product samples and 36 in-depth interview cases. Based on the coding results, a layered and progressive functional scenario model was developed. The open coding process yielded 39 categories, which were consolidated through axial coding into 15 major categories and further synthesized into six overarching functional scenarios: driving safety, intelligent services, direct settings, voice interaction, emotional services, and human-subjective interaction. The theoretical model derived from selective coding reveals a three-tiered structure of "demand-driven—interaction realization—experience enhancement". Findings suggest that interaction scenarios of in-vehicle robots form a systematic framework encompassing safety, functionality, and emotionality. Research shows that safety assurance serves as the fundamental prerequisite, functional realization acts as the central support, and emotional experience emerges as the value extension. This model provides a structured theoretical basis for interaction design in intelligent cockpits and offers practical guidance for the optimization and application of in-vehicle robot design in the future.