Agentic Social Affordance Framework (ASAF): Agent Identity Design as a Collaboration Interface in Multi-Agent Systems
This paper introduces the Agentic Social Affordance Framework (ASAF), a new theoretical model for designing multi-agent AI systems. ASAF posits that an agent's social identity acts as a collaboration interface, influencing how users interact with and perceive the system. The framework outlines three mechanisms—Identity Signaling, Behavioral Priming, and Collaborative Governance—and suggests design considerations for optimizing human-agent collaboration. AI
IMPACT Provides a new theoretical lens for designing more effective human-AI collaboration in multi-agent systems.