Time is a second-class citizen in most collaborative software: activity traces are fragmented across tools or entirely ephemeral. We introduce Stund, an activity-enriched collaborative workspace where all activities—voice, video, interactions, and content edits—leave traces that become part of the medium of the ongoing collaboration. Unlike traditional chatbots or meeting assistants, artificial intelligence (AI) is embedded in the medium as well, allowing users to directly leverage traces through it. We demonstrate this through scenarios such as: spontaneously creating an instrument during the meeting to play back the recorded conversation around a particular spreadsheet edit; automatically detecting when someone is absent to summarize what was missed when they return; or detecting and resurfacing when sticky notes have been shaken in excitement when ideas are presented. The entire workspace is queryable, transformable, and reified through AI. Stund introduces a new approach to malleable collaborative software, where activity traces and AI are an integral part of the workspace medium.
BibTeX
@inproceedings{borowski2026stund,
author = {Borowski, Marcel and Kristensen, Janus Bager and Panda, Payod and Rintel, Sean and Elmqvist, Niklas and Grønbæk, Jens Emil Sloth and Klokmose, Clemens Nylandsted},
title = {Stund: Activity-Enriched Collaborative Workspaces Mediated by Artificial Intelligence},
booktitle = {UIST 2026},
year = {2026},
publisher = {ACM},
url = {https://www.microsoft.com/en-us/research/publication/stund-activity-enriched-collaborative-workspaces-mediated-by-artificial-intelligence/},
}