构建人机共创沟通框架，提升协作体验
Human-Centered AI Communication in Co-Creativity: An Initial Framework and Insights
- 基于107篇论文系统梳理人机沟通关键要素
- 发现用户偏好双向反馈而非单向传递
- 适用于设计、写作等协同创作场景
有效的人机沟通是实现人机协同创作的关键。然而，当前多数协同创作AI系统缺乏有效的沟通机制，限制了其协作潜力。本文通过系统性回顾107篇完整论文，初步构建了面向协同创作的AI沟通框架（FAICO），涵盖沟通核心要素及其对用户体验的影响，并提出初步设计指南。为完善框架，我们组织了两场焦点小组讨论，参与者包括人工智能、人机交互及设计领域的专业人员，旨在了解其对AI沟通的偏好，评估框架认知，收集改进建议，并探索其在协作写作与设计等场景中的应用。研究发现，用户更倾向于双向反馈循环而非线性沟通，且情境理解对相互认知至关重要。基于这些洞察，本文提出可操作的实践策略与未来方向，标志着迈向构建全面人机协同沟通指南的第一步。
原文摘要 · Abstract (English)
Effective communication between AI and humans is essential for successful human-AI co-creation. However, many current co-creative AI systems lack effective communication, which limits their potential for collaboration. This paper presents the initial design of the Framework for AI Communication (FAICO) for co-creative AI, developed through a systematic review of 107 full-length papers. FAICO presents key aspects of AI communication and their impact on user experience, offering preliminary guidelines for designing human-centered AI communication. To improve the framework, we conducted a preliminary study with two focus groups involving skilled individuals in AI, HCI, and design. These sessions sought to understand participants' preferences for AI communication, gather their perceptions of the framework, collect feedback for refinement, and explore its use in co-creative domains like collaborative writing and design. Our findings reveal a preference for a human-AI feedback loop over linear communication and emphasize the importance of context in fostering mutual understanding. Based on these insights, we propose actionable strategies for applying FAICO in practice and future directions, marking the first step toward developing comprehensive guidelines for designing effective human-centered AI communication in co-creation.
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