一句话：访谈与问卷揭示开发者对 AI 开发工具的心智模型和角色认知正向影响其采用。
本文研究开发者如何概念化 AI 驱动的开发工具，以及这些角色归因如何影响技术接受。作者对 38 次访谈进行定性分析，并对 102 名参与者开展定量问卷调查，识别出两类主要心智模型：AI 作为无生命工具和 AI 作为类人队友。因子分析进一步将 AI 角色归为支持型角色（如助手、参考指南）和专家型角色（如顾问、问题解决者）。研究发现，为 AI 赋予多种角色与感知有用性和感知易用性正相关，表明多样化的概念化有助于提升 AI 采用。作者建议 AI4SE 工具应采用自适应设计策略，以匹配不同用户期望和心智模型。
This paper investigates how developers conceptualize AI-powered Development Tools and how these role attributions influence technology acceptance. Through qualitative analysis of 38 interviews and a quantitative survey with 102 participants, we identify two primary Mental Models: AI as an inanimate tool and AI as a human-like teammate. Factor analysis further groups AI roles into Support Roles (e.g., assistant, reference guide) and Expert Roles (e.g., advisor, problem solver). We find that assigning multiple roles to AI correlates positively with Perceived Usefulness and Perceived Ease of Use, indicating that diverse conceptualizations enhance AI adoption. These insights suggest that AI4SE tools should accommodate varying user expectations through adaptive design strategies that align with different Mental Models.