@inproceedings{5e1d1b681168476698588de653360ffc,
title = "DeepSee: Multidimensional Visualizations of Seabed Ecosystems",
abstract = "Scientists studying deep ocean microbial ecosystems use limited numbers of sediment samples collected from the seafloor to characterize important life-sustaining biogeochemical cycles in the environment. Yet conducting fieldwork to sample these extreme remote environments is both expensive and time consuming, requiring tools that enable scientists to explore the sampling history of field sites and predict where taking new samples is likely to maximize scientific return. We conducted a collaborative, user-centered design study with a team of scientific researchers to develop DeepSee, an interactive data workspace that visualizes 2D and 3D interpolations of biogeochemical and microbial processes in context together with sediment sampling history overlaid on 2D seafloor maps. Based on a field deployment and qualitative interviews, we found that DeepSee increased the scientific return from limited sample sizes, catalyzed new research workflows, reduced long-term costs of sharing data, and supported teamwork and communication between team members with diverse research goals.",
keywords = "Data visualization, deep ocean research, design study, scientific visualization, visual analytics",
author = "Adam Coscia and Sapers, {Haley M.} and Noah Deutsch and Malika Khurana and Magyar, {John S.} and Parra, {Sergio A.} and Utter, {Daniel R.} and Wipfler, {Rebecca L.} and Caress, {David W.} and Martin, {Eric J.} and Paduan, {Jennifer B.} and Maggie Hendrie and Santiago Lombeyda and Hillary Mushkin and Alex Endert and Scott Davidoff and Orphan, {Victoria J.}",
note = "Publisher Copyright: {\textcopyright} 2024 Copyright held by the owner/author(s); 2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024 ; Conference date: 11-05-2024 Through 16-05-2024",
year = "2024",
month = may,
day = "11",
doi = "10.1145/3613904.3642001",
language = "English (US)",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
booktitle = "CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems",
}