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AI agent collaboration: Affective dynamics as a coordination layer

By PulseAugur Editorial · [1 sources] ·

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]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI agent collaboration: Affective dynamics as a coordination layer

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The item is a research paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Junjie Xu, Xingjiao Wu, Zihao Zhang, Yujia Xu, Yuzhe Yang, Jin Zhu, Luwei Xiao, Wen Wu, Liang He ·

    Caring Without Feeling: Affective Dynamics as the Control Layer of Human-AI Agent Collaboration

    arXiv:2606.18259v1 Announce Type: cross Abstract: AI agents that plan, retain memory across sessions, invoke external tools and act with partial autonomy are transforming human--AI collaboration. Research on affective computing, simulated empathy in large language models, trust i…

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