EDBT 2026 Demo / reviewers in the wild / expert
Katherine L. C. Bell
dblp:342/2695
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0003-0826-0758ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
1 paper |
Human-AI interaction · 77% Design research and methods · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-AI interaction › human-centered AI
human-centered AI design |
0.7 | 1 | 2023 | Designing Ocean Vision AI: An Investigation of Community Needs for Imaging-based Ocean Conservation · CHI 2023 |
Design research and methods
stakeholder engagement |
0.2 | 1 | 2023 | Designing Ocean Vision AI: An Investigation of Community Needs for Imaging-based Ocean Conservation · CHI 2023 |
Methods — techniques the papers use, named apart from their topics
workshop · 0.7interview study · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Designing Ocean Vision AI: An Investigation of Community Needs for Imaging-based Ocean ConservationabstractOcean scientists studying diverse organisms and phenomena increasingly rely on imaging devices for their research. These scientists have many tools to collect their data, but few resources for automated analysis. In this paper, we report on discussions with diverse stakeholders to identify community needs and develop a set of functional requirements for the ongoing development of ocean science-specific analysis tools. We conducted 36 in-depth interviews with individuals working in the Blue Economy space, revealing four central issues inhibiting the development of effective imaging analysis monitoring tools for marine science. We also identified twelve user archetypes that will engage with these services. Additionally, we held a workshop with 246 participants from 35 countries centered around FathomNet, a web-based open-source annotated image database for marine research. Findings from these discussions are being used to define the feature set and interface design of Ocean Vision AI, a suite of tools and services to advance observational capabilities of life in the ocean. Alison Crosby, Eric C. Orenstein, Susan E. Poulton, Katherine L. C. Bell, Benjamin G. Woodward, Henry Ruhl, Kakani Katija, Angus G. Forbes |
CHI | 4 |