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cs.AI2026
What to Delegate, What to Preserve: Human Preferences for Agentic AI Across Everyday Life and Work
Sarah Wheeler, Veronica Rammouz, Yaoyao Qian +5
AI agents can execute multi-step tasks on users' behalf, yet the boundaries of acceptable delegation remain unclear. We report a scenario-based survey of 289 U.S. adults with prior…
cs.AI2025
Context-aware LLM-based AI Agents for Human-centered Energy Management Systems in Smart Buildings
Tianzhi He, Farrokh Jazizadeh
This study presents a conceptual framework and a prototype assessment for Large Language Model (LLM)-based Building Energy Management System (BEMS) AI agents to facilitate context-…