Collaborative Document Editing with Multiple Users and AI Agents

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Lehmann, Florian, Shauchenka, Krystsina, Buschek, Daniel
Format: Preprint
Published: 2025
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866910029582434304
author Lehmann, Florian
Shauchenka, Krystsina
Buschek, Daniel
author_facet Lehmann, Florian
Shauchenka, Krystsina
Buschek, Daniel
contents Current AI writing support tools are largely designed for individuals, complicating collaboration when co-writers must leave the shared workspace to use AI and then communicate and reintegrate results. We propose integrating AI agents directly into collaborative writing environments. Our prototype makes AI use visible to all users through two new shared objects: user-defined agent profiles and tasks. Agent responses appear in the familiar comment feature. In a user study (N=30), 14 teams worked on writing projects during one week. Interaction logs and interviews show that teams incorporated agents into existing norms of authorship, control, and coordination, rather than treating them as team members. Agent profiles were viewed as personal territory, while created agents and outputs became shared resources. We discuss implications for team-based AI interaction, highlighting opportunities and boundaries for treating AI as a shared resource in collaborative work.
format Preprint
id arxiv_https___arxiv_org_abs_2509_11826
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Collaborative Document Editing with Multiple Users and AI Agents
Lehmann, Florian
Shauchenka, Krystsina
Buschek, Daniel
Human-Computer Interaction
Computation and Language
H.5.2; I.2.7
Current AI writing support tools are largely designed for individuals, complicating collaboration when co-writers must leave the shared workspace to use AI and then communicate and reintegrate results. We propose integrating AI agents directly into collaborative writing environments. Our prototype makes AI use visible to all users through two new shared objects: user-defined agent profiles and tasks. Agent responses appear in the familiar comment feature. In a user study (N=30), 14 teams worked on writing projects during one week. Interaction logs and interviews show that teams incorporated agents into existing norms of authorship, control, and coordination, rather than treating them as team members. Agent profiles were viewed as personal territory, while created agents and outputs became shared resources. We discuss implications for team-based AI interaction, highlighting opportunities and boundaries for treating AI as a shared resource in collaborative work.
title Collaborative Document Editing with Multiple Users and AI Agents
topic Human-Computer Interaction
Computation and Language
H.5.2; I.2.7
url https://arxiv.org/abs/2509.11826