arXiv (All)
open access
CompanionSim: Synthetic Data for Evaluating Anthropomorphism in Human-AI Relationships
Many people now see AI systems as not just productivity tools but as social companions. Researchers are eager to study the consequences of AI companionship behaviors, such as validation, which evoke trust, empathy, and attachment in human-human interaction. However, human-AI interaction data is limi
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- CompanionSim: Synthetic Data for Evaluating Anthropomorphism in Human-AI Relationships#809712
- Towards More Empathic Programming Environments: An Experimental Empathic AI-Enhanced IDE#124136
- AI Behavioral Science: A Framework and Agenda#1155057
- HumanAgencyBench: Scalable Evaluation of Human Agency Support in AI Assistants#1049671
- What Does It Take to Detect an AI Agent? Minimal Feature Sets for Behavioral Detection under Browser Automation#410932
Record · ID 819708
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive