Designing for Playfulness in Human-AI Authoring Tools

The primary purpose of this analysis is to advocate for the integration of playfulness into the design of human-AI authoring tools, including Creativity Support Tools (CSTs) and Mixed-Initiative Co-Creativity (MICC) systems. While these tools are typically engineered for efficiency and task-oriented productivity, the authors argue that users frequently engage with them in exploratory, subversive, and task-agnostic ways. By intentionally designing for playfulness, developers can better support diverse user goals, enhance the user experience, and foster creativity, which is conceptually linked to but distinct from playfulness.

The research identifies three primary avenues for fostering playfulness in human-AI interaction. First, user interfaces can be designed to encourage playful states through gamification elements, such as time-constrained micro-tasks, Easter eggs, or simplified, non-intimidating design environments. Second, AI algorithms can be imbued with playful traits by incorporating intrinsic motivation, artificial curiosity, and quality-diversity search, allowing the system to act as a partner in exploration rather than just a tool for output. Finally, the dialog between human and AI can be disrupted through intentional misunderstandings, role-playing, or idiosyncratic feedback, which breaks the user’s task-oriented mindset and encourages creative experimentation.

The scope of this work encompasses the intersection of human-centered computing and artificial intelligence within creative domains. The authors draw upon existing theoretical frameworks of play and gameful experience to propose a new research agenda. By shifting the focus from purely functional, professional-grade interfaces to systems that invite exploration, the authors conclude that developers can unlock the full potential of AI as a collaborative creative partner, ultimately transforming the nature of human-AI co-creation.