SOURCE-LINKED INTELLIGENCE
InterSocialBench: Benchmarking Human and LLM Preferences for Companion-Robot Social Behavior
Companion robots face everyday situations in which several feasible behaviors may be appropriate, yet different people prefer different responses. We introduce InterSocialBench, a benchmark of 210 domestic scenarios and 18 high-level behaviors, pairing judgments from 100 human participants with 23,520 responses from seven large language models under 16 personality conditions. Each human annotation preserves a preferred action alongside explicitly appropriate and inappropriate candidates. A structured construction pipeline covers behavioral alternatives, competing situational cues, and relevant
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-14T12:21:12.000Z
First collected: 2026-09-20T11:41:07.830Z. This is not the publication date.