LADICA: A Large Shared Display Interface for Generative AI Cognitive Assistance in Co-located Team Collaboration

要旨

Large shared displays, such as digital whiteboards, are useful for supporting co-located team collaborations by helping members perform cognitive tasks such as brainstorming, organizing ideas, and making comparisons. While recent advancement in Large Language Models (LLMs) has catalyzed AI support for these displays, most existing systems either only offer limited capabilities or diminish human control, neglecting the potential benefits of natural group dynamics. Our formative study identified cognitive challenges teams encounter, such as diverse ideation, knowledge sharing, mutual awareness, idea organization, and synchronization of live discussions with the external workspace. In response, we introduce LADICA, a large shared display interface that helps collaborative teams brainstorm, organize, and analyze ideas through multiple analytical lenses, while fostering mutual awareness of ideas and concepts. Furthermore, LADICA facilitates the real-time extraction of key information from verbal discussions and identifies relevant entities. A lab study confirmed LADICA's usability and usefulness.

著者
Zheng Zhang
University of Notre Dame, Notre Dame, Indiana, United States
Weirui Peng
Columbia University, New York, New York, United States
Xinyue Chen
University of Michigan, Ann Arbor, Michigan, United States
Luke Cao
University of Notre Dame, Notre Dame, Indiana, United States
Toby Jia-Jun. Li
University of Notre Dame, Notre Dame, Indiana, United States
DOI

10.1145/3706598.3713289

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713289

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Co-ideation

G314+G315
7 件の発表
2025-05-01 18:00:00
2025-05-01 19:30:00
日本語まとめ
読み込み中…