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Bong Shin Lee

Yonsei University · 情報科学

研究室紹介

Professor Bong Shin Lee's research lab focuses on advancing collaborative visualization in remote and synchronous settings, emphasizing human-computer interaction and data-driven teamwork. The lab explores challenges in five core collaborative activities—exploratory data analysis, creative ideation, visualization-rich presentations, joint decision making, and real-time data monitoring—through an interdisciplinary lens. Their work centers on multimodal communication, shared understanding, and the design of interactive systems that support effective collaboration across distances. The lab bridges theory and practice, drawing on insights from visualization, collaborative technologies, and social dynamics.

collaborative visualizationremote collaborationmultimodal communicationdata-driven decision makinginteractive systems

Research Overview

Papers
2
Total Citations
1
Papers (5y)
2
Primary Field
情報科学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
2total
2026
Citations per year (5y)
1total
2026

Selected Papers

2
1
Article|1 citations·2026
Challenges in Synchronous & Remote Collaboration Around Visualization
Matthew Brehmer, Maxime Cordeil, Christophe Hurter, Takayuki Itoh, Wolfgang Büschel, Mahmood Jasim, Arnaud Prouzeau, David Saffo, Lyn Bartram, Sheelagh Carpendale, Chen Zhu-Tian, Andrew Cunningham
ArXiv.orgOA

We characterize 16 challenges faced by those investigating and developing remote and synchronous collaborative experiences around visualization. Our work reflects the perspectives and prior research efforts of an international group of 29 experts from across human-computer interaction and visualization sub-communities. The challenges are anchored around five collaborative activities that exhibit a centrality of visualization and multimodal communication. These activities include exploratory data

Computer Vision and Pattern RecognitionComputer Science
2
Preprint|0 citations·2026
Challenges in Synchronous & Remote Collaboration Around Visualization
Matthew Brehmer, Maxime Cordeil, Christophe Hurter, Takayuki Itoh, Wolfgang Büschel, Mahmood Jasim, Arnaud Prouzeau, David Saffo, Lyn Bartram, Sheelagh Carpendale, Chen Zhu-Tian, Andrew Cunningham
arXiv (Cornell University)OA

We characterize 16 challenges faced by those investigating and developing remote and synchronous collaborative experiences around visualization. Our work reflects the perspectives and prior research efforts of an international group of 29 experts from across human-computer interaction and visualization sub-communities. The challenges are anchored around five collaborative activities that exhibit a centrality of visualization and multimodal communication. These activities include exploratory data

Computer Vision and Pattern RecognitionComputer Science

Research Areas

Computer Vision and Pattern Recognition

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