Abstract
Cross-disciplinary teams increasingly work with high-dimensional scientific datasets, yet fragmented toolchains and limited support for shared exploration hinder collaboration. Prior immersive visualization & analytics research has emphasized individual interaction, leaving open howmulti-user collaboration can be supported at scale. To fill this critical gap, we conduct semi-structured interviews with 20 domain experts from diverse academic, government, and industry backgrounds. Using deductive–inductive hybrid thematic analysis, we identify four collaboration-focused themes: workflow challenges, adoption perceptions, prospective features, and anticipated usability and ethical risks. These findings show how current ecosystems disrupt coordination and shared understanding, while highlighting opportunities for effective multi-user engagement. Our study contributes empirical insights into collaboration practices for high-dimensional scientific data visualization & analysis, offering design implications to enhance coordination, mutual awareness, and equitable participation in next-generation collaborative immersive platforms. These contributions point toward future environments enabling distributed, cross-device teamwork on high-dimensional scientific data.
Proceedings Title
CHI 2026. The ACM (Association of Computing Machinery) CHI conference on Human Factors in Computing Systems is the leading international conference on Human-Computer Interaction.
Conference Dates
April 13-17, 2026
Conference Location
Barcelona, ES
Conference Title
CHI 2026
Citation
Su, S.
(2026),
Toward Collaborative Immersive Analytics of High-Dimensional Scientific Data: Challenges, Perceptions, and Future Directions, CHI 2026. The ACM (Association of Computing Machinery) CHI conference on Human Factors in Computing Systems is the leading international conference on Human-Computer Interaction., Barcelona, ES, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=960716 (Accessed October 4, 2026)
Additional citation formats
Issues
If you have any questions about this publication or are having problems accessing it, please contact [email protected].