AI RESEARCH
From Overload to Convergence: Supporting Multi-Issue Human-AI Negotiation with Bayesian Visualization
arXiv CS.AI
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ArXi:2603.22766v1 Announce Type: cross As AI systems increasingly mediate negotiations, understanding how the number of negotiated issues impacts human performance is crucial for maintaining human agency. We designed a human-AI negotiation in a realistic property rental scenario, varying the number of negotiated issues; empirical findings show that without, performance stays stable up to three issues but declines as additional issues increase cognitive load. To address this, we