Visual Analytics Challenges and Trends in the Age of AI: The BigVis Community Perspective
This report provides insights into the challenges, emerging topics, and opportunities related to human-data interaction and visual analytics in the AI era. The BigVis 20241 organizing committee conducted a survey among experts in the field. They invited the Program Committee members and the authors of accepted papers to share their views. Thirty-two scientists from diverse research communities, including Databases, Information Visualization, and Human-Computer Interaction, participated in the study. These scientists, representing both industry and academia, provided valuable insights into the current and future landscape of the field.
Authors
- George Papastefanatos (ORCID: https://orcid.org/0000-0002-9273-9843)
- Nikos Bikakis (ORCID: https://orcid.org/0000-0001-6859-1941)
- Panos K. Chrysanthis (ORCID: https://orcid.org/0000-0001-7189-9816)
- Guoliang Li (ORCID: https://orcid.org/0000-0002-1398-0621)
- Lingyun Yu (ORCID: https://orcid.org/0009-0001-7700-9025)
Institutions
- University of Pittsburgh (US)
- Mediterranean University (ME)
- Athena Research and Innovation Center In Information Communication & Knowledge Technologies (GR)
- Xi’an Jiaotong-Liverpool University (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- ACM SIGMOD Record
- Published
- 2025-07-14
- DOI
- https://doi.org/10.1145/3749116.3749133
- Primary Topic
- Data Visualization and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00