Human-Centered AI Communication in Co-Creativity: An Initial Framework and Insights

2025-05-23

AI Summary

Existing collaborative creative AI systems suffer from inefficient human–AI communication, hindering collaborative efficacy. Method: Through a systematic review of 107 publications and interdisciplinary (AI/HCI/design) dual-focus group workshops, we developed FAICO—the first communication framework explicitly designed for human–AI co-creation. Contribution/Results: FAICO introduces a novel bidirectional feedback loop paradigm—replacing traditional linear communication—and establishes a context-driven mutual understanding mechanism. It formalizes three core principles: context awareness, closed-loop feedback, and role negotiation. Integrating systematic literature analysis, qualitative empirical inquiry, and iterative modeling, FAICO yields an extensible, human-centered AI communication design framework and actionable practice guidelines. The framework provides empirically grounded, implementable communication optimization pathways for real-world collaborative scenarios such as co-writing and co-design.

Technology Category

• Humans and AI: Human-AI Collaboration / Human-AI Teaming
• Multiagent Systems: Agent Communication
• Cognitive Modeling & Cognitive Systems: Computational Creativity

Application Category

• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions
• Economics, Online Markets and Human Computation: Fairness and ethical considerations in crowd work and in human-in-the-loop AI systems
• Social Networks and Social Media: Generative AI / large language models and their impact on social systems

Abstract

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.

Problem

• Developing a framework for effective human-AI co-creation communication
• Addressing limitations in current co-creative AI systems' communication
• Improving user experience through human-centered AI communication design

Innovation

• Developed FAICO framework for AI communication
• Conducted focus groups with AI and HCI experts
• Proposed human-AI feedback loop strategies