arXiv Computation and Language By Shmuel Amar, Benjamin Lieber, Ori Shapira, Debanjana Kar, Sebastian Maximilian Dennerlein, Yufang Hou, Ido Dagan

CoWriter: Guiding Methodological and Synergetic Human-LLM Co-Authoring

Read the original on arXiv Computation and Language →

CoWriter is a proactive agentic system that adapts expert human co‑authoring methodologies from cognitive science to guide the entire writing workflow and actively encourage user engagement. In an exploratory user study, authors using CoWriter expressed their perspectives more clearly, felt greater ownership of the document, and engaged with the agent 2.2× more often than a standard LLM baseline. External reader judges also rated CoWriter‑generated texts higher in human‑touch qualities such as storytelling and personal experience integration.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computation and Language.

arXiv AI
Sep 25

DocuTeam: Mixed-Initiative Multi-Agent Discussions around Evolving Documents

DocuTeam is a mixed‑initiative multi‑agent discussion system that allows both users and agents to start and steer conversations around evolving documents. Agents monitor changes to the document and proactively initiate or redirect discussions, while users can shape the dialogue or adopt agent suggestions. In a within‑subjects study with 20 participants, DocuTeam produced outcomes that were rated as more novel, relevant, and specific compared to a baseline, without increasing cognitive load.

By Heechan Lee, Juhyeon Choi, Tae Soo Kim, Juho Kim, Joseph Seering
arXiv Computation and Language
Sep 14

The House with a Million Windows: Interactive Fiction for Narrative Restorying

The House with a Million Windows (HWAMW) is an LLM-based interactive fiction system that lets users narrate a story and then view it through a series of AI-generated "windows" that reframe the narrative in various literary styles. The system is grounded in the psychological restorying intervention, aiming to deepen users' exploration of meaning in their personal stories. Empirical results indicate that HWAMW enhances users' sense of narrative identity, and expert reviews suggest it achieves this by facilitating restorying rather than simply generating new content.

By Cody Kommers, Sarah G Immel, Drew Hemment, Mina Lee