根据人格特质优化人机编程角色，提升协作动机与效率。
Human-AI Programming Role Optimization: Developing a Personality-Driven Self-Determination Framework
- 基于自我决定理论与人格心理学构建角色优化框架
- 本科生动机最高提升65%，专业人士平均提升23%
- 识别五类人格原型并匹配编程角色，适配不同开发者
随着人工智能重塑软件开发，如何实现人与AI高效协作成为关键问题。本论文通过五轮设计科学研究，融合自我决定理论与人格心理学，提出角色优化动机对齐（ROMA）框架。研究招募200名实验参与者和46名访谈对象，实证验证了人格特质、编程角色偏好与协作成果之间的关联。结果表明，基于人格的角色优化显著提升自主性与团队效能，专业人士平均动机提升23%，本科生最高达65%。研究识别出五类人格原型：探索者（高开放性/低宜人性）、协调者（高外向性/宜人性）、工匠（高神经质/低外向性）、架构师（高尽责性）和适应者（均衡型），各自倾向不同协作角色（共乘、共导航、代理），角色分配方式对满意度影响显著。贡献包括：（1）建立人格特质与角色偏好及内在动机结果的实证关联；（2）构建人格驱动的AI协作模式分类体系，保障人类主导权；（3）扩展ISO/IEC 29110标准，支持极小实体实施人格化角色优化。
原文摘要 · Abstract (English)
As artificial intelligence transforms software development, a critical question emerges: how can developers and AI systems collaborate most effectively? This dissertation optimizes human-AI programming roles through self-determination theory and personality psychology, introducing the Role Optimization Motivation Alignment (ROMA) framework. Through Design Science Research spanning five cycles, this work establishes empirically-validated connections between personality traits, programming role preferences, and collaborative outcomes, engaging 200 experimental participants and 46 interview respondents. Key findings demonstrate that personality-driven role optimization significantly enhances self-determination and team dynamics, yielding 23% average motivation increases among professionals and up to 65% among undergraduates. Five distinct personality archetypes emerge: The Explorer (high Openness/low Agreeableness), The Orchestrator (high Extraversion/Agreeableness), The Craftsperson (high Neuroticism/low Extraversion), The Architect (high Conscientiousness), and The Adapter (balanced profile). Each exhibits distinct preferences for programming roles (Co-Pilot, Co-Navigator, Agent), with assignment modes proving crucial for satisfaction. The dissertation contributes: (1) an empirically-validated framework linking personality traits to role preferences and self-determination outcomes; (2) a taxonomy of AI collaboration modalities mapped to personality profiles while preserving human agency; and (3) an ISO/IEC 29110 extension enabling Very Small Entities to implement personality-driven role optimization within established standards. Keywords: artificial intelligence, human-computer interaction, behavioral software engineering, self-determination theory, personality psychology, phenomenology, intrinsic motivation, pair programming, design science research, ISO/IEC 29110
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