Ream: Unfolding Mutual Awareness in Human-Agent Workspaces
We present Ream, a literature review workspace that supports mutual awareness through structured artifacts, bidirectional engagement tracking, and localized visualizations.
ProofPaper ↗
Key points
- As AI agents work alongside humans in shared workspaces, a mutual awareness challenge arises: agents act at speeds that outpace human monitoring, and users' evolving interests are not always expressed in chat.
- This challenge is especially pressing in literature review, where both parties retrieve, read, and synthesize a growing body of papers.
- Shared histories also helped agents build on earlier work.
- These findings inform how engagement traces within shared documents can support transparency, personalized assistance, and coordination in human-agent knowledge work.
Sources (1)
- [1]Ream: Unfolding Mutual Awareness in Human-Agent WorkspacesarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 7, 05:52 AM
We present Ream, a literature review workspace that supports mutual awareness through structured artifacts, bidirectional engagement tracking, and localized visualizations.
As AI agents work alongside humans in shared workspaces, a mutual awareness challenge arises: agents act at speeds that outpace human monitoring, and users' evolving interests are not always expressed in chat.
Extractive summary: sentences quoted from the sources.
Before this
- Oct 6, 2026OpenAI “rogue” agent activities found on Wikimedia projects
- Oct 6, 2026Can AI Agents Make Open-Ended Scientific Discovery? Evidence from Station
- Oct 5, 2026Sharing AI progress in mathematics
- Oct 2, 2026Anthropic invests $100 million to train 10,000 engineers and tackle the enterprise AI talent gap
- Oct 1, 2026Claude-shaped science
- Sep 30, 2026Last Week in AI #345 - 5 new models, 9 misalignment incidents, some Dots