Title data
Lehmann, Florian ; Shauchenka, Krystsina ; Buschek, Daniel:
Collaborative Document Editing with Multiple Users and AI Agents.
In:
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems. -
New York, NY
: Association for Computing Machinery
,
2026
. - 58
ISBN 9798400722783
DOI: https://doi.org/10.1145/3772318.3790648
Project information
| Project title: |
Project's official title Project's id Computergestützte Schreibwerkzeuge 525037874 |
|---|---|
| Project financing: |
Deutsche Forschungsgemeinschaft |
Abstract in another language
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.
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | Yes |
| Keywords: | Collaboration; writing; AI agent; text editor; CSCW |
| Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IX > Chair Applied Computer Science - Univ.-Prof. Dr. Daniel Buschek |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science |
| Date Deposited: | 28 Apr 2026 07:45 |
| Last Modified: | 28 Apr 2026 07:45 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/96939 |

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