一句话：基于 238 名开发者的调查与 PLS-SEM 建模，揭示影响开发者对生成式 AI 工具信任与采用意图的关键因素。
生成式 AI 工具（如 ChatGPT、Copilot）被宣称能提升开发者生产力，并正被集成进软件开发流程，但信任错位、怀疑态度与可用性问题可能阻碍其采用；已有研究还指出 AI 可能具有排他性，未能充分支持认知风格多样的用户。为厘清如何有效集成此类工具，作者提出一个有理论基础的统计模型，用于识别影响开发者对生成式 AI 工具信任的因素，并考察信任、认知风格与使用意图之间的关系。研究对 GitHub 与 Microsoft 两家全球大型科技机构的 238 名软件开发者进行了问卷调查，并采用偏最小二乘结构方程建模（PLS-SEM）对模型进行评估。结果显示，生成式 AI 的系统/输出质量、功能价值与目标维持显著影响开发者对工具的信任；开发者的信任与认知风格则进一步影响其在工作中使用这些工具的意图。作者据此提出了兼顾有效使用与包容性用户体验的生成式 AI 工具设计建议。
Generative AI (genAI) tools, such as ChatGPT or Copilot, are advertised to improve developer productivity and are being integrated into software development. However, misaligned trust, skepticism, and usability concerns can impede the adoption of such tools. Research also indicates that AI can be exclusionary, failing to support diverse users adequately. One such aspect of diversity is cognitive diversity-variations in users' cognitive styles-that leads to divergence in perspectives and interaction styles. When an individual's cognitive style is unsupported, it creates barriers to technology adoption. Therefore, to understand how to effectively integrate genAI tools into software development, it is first important to model what factors affect developers' trust and intentions to adopt genAI tools in practice? We developed a theoretically grounded statistical model to (1) identify factors that influence developers' trust in genAI tools and (2) examine the relationship between developers' trust, cognitive styles, and their intentions to use these tools in their work. We surveyed software developers ($\mathrm{N}=238$) at two major global tech organizations: GitHub Inc. and Microsoft; and employed Partial Least Squares-Structural Equation Modeling (PLS-SEM) to evaluate our model. Our findings reveal that genAI's system/output quality, functional value, and goal maintenance significantly influence developers' trust in these tools. Furthermore, developers' trust and cognitive styles influence their intentions to use these tools in their work. We offer practical suggestions for designing genAI tools for effective use and inclusive user experience.
DOI 原文 ·
@inproceedings{paperbot8748,
title = {What Guides Our Choices? Modeling Developers' Trust and Behavioral Intentions Towards Genai},
author = {Rudrajit Choudhuri and Bianca Trinkenreich and Rahul Pandita and Eirini Kalliamvakou and Igor Steinmacher and Marco Gerosa and Christopher Sanchez and Anita Sarma},
booktitle = {ICSE},
year = {2025},
doi = {10.1109/icse55347.2025.00087}
}