2 papers
cs.HC2026
How Anthropomorphic Attitudes Toward Agents Divide User Behavior, and How Design Should Change
Tingyu Cao, Yan Tang, Keer Hu +6
Studies of conversational agents rely on interviews, surveys, lab tasks, or taxonomies. Whether anthropomorphic naming splits those patterns, and whether replies should change, lac…
cs.HC2026
ProAgentBench: Evaluating LLM Agents for Proactive Assistance with Real-World Data
Yuanbo Tang, Huaze Tang, Tingyu Cao +6
Proactive agents that anticipate user intentions without explicit prompts represent a significant evolution in human-AI interaction, promising to reduce cognitive load and streamli…