English

Challenges in Synchronous & Remote Collaboration Around Visualization

Human-Computer Interaction 2026-03-09 v1

Abstract

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 analysis, creative ideation, visualization-rich presentations, joint decision making grounded in data, and real-time data monitoring. The challenges also reflect the changing dynamics of these activities in the face of recent advances in extended reality (XR) and artificial intelligence (AI). As an organizing scheme for future research at the intersection of visualization and computer-supported cooperative work, we align the challenges with a sequence of four sets of research and development activities: technological choices, social factors, AI assistance, and evaluation.

Keywords

Cite

@article{arxiv.2603.05871,
  title  = {Challenges in Synchronous & Remote Collaboration Around Visualization},
  author = {Matthew Brehmer and Maxime Cordeil and Christophe Hurter and Takayuki Itoh and Wolfgang Büschel and Mahmood Jasim and Arnaud Prouzeau and David Saffo and Lyn Bartram and Sheelagh Carpendale and Chen Zhu-Tian and Andrew Cunningham and Tim Dwyer and Samuel Huron and Masahiko Itoh and Alark Joshi and Kiyoshi Kiyokawa and Hideaki Kuzuoka and Bongshin Lee and Gabriela Molina León and Harald Reiterer and Bektur Ryskeldiev and Jonathan Schwabish and Brian A. Smith and Yasuyuki Sumi and Ryo Suzuki and Anthony Tang and Yalong Yang and Jian Zhao},
  journal= {arXiv preprint arXiv:2603.05871},
  year   = {2026}
}

Comments

Proceedings of the 2026 ACM Conference on Human Factors in Computing Systems (CHI)

R2 v1 2026-07-01T11:06:05.718Z