arXiv (All)
open access
Human and LLM Facilitation in Collaborative Design Meetings: A Computational Behavioral Comparison
Large language models (LLMs) are increasingly being explored as facilitators of group discussion and collaborative work, but the behavioral differences between LLM-generated and human facilitation remain insufficiently characterized. We compare human Project Manager facilitation turns from scenario-
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
- From Process Loss to Assembly Bonus: Human-Grounded Diagnosis of Multi-Agent LLM Collaboration#1071067
- M-CALLM: Multi-level Context Aware LLM Framework for Group Interaction Prediction#1155076
- Language-model groups overstate consensus when replaying human deliberation on a reasoning task#1034357
- Language-model groups overstate consensus when replaying human deliberation on a reasoning task#978469
- Predicting Team Performance from Communications in Simulated Search-and-Rescue#1130442
Record · ID 1297434
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