A new review paper published on arXiv explores the role of affective dynamics in human-AI agent collaboration. It proposes a framework that views affect not as an internal AI property, but as a coordination layer for humans and agents to negotiate capability, uncertainty, and responsibility. This framework aims to provide a foundation for better measurement, design, and governance of AI systems that exhibit emotion-like behaviors. AI
IMPACT This framework could lead to more trustworthy and effectively governed AI agents by clarifying how affective cues influence human reliance and decision-making.
RANK_REASON The item is a research paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]
- affective computing
- Affective Dynamics in Psychopathology
- Agentic Collaboration
- AI safety
- arXiv
- large-language models
- Trust in Automation: Designing for Appropriate Reliance
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