New framework models AI agent identity as collaboration interface

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.

RANK_REASON This is a research paper introducing a new theoretical framework for AI systems. [lever_c_demoted from research: ic=1 ai=1.0]

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• Agentic Social Affordance Framework (ASAF)
• Social Affordance theory

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