Ocean 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.
翻译:研究各种生物和现象的海洋科学家越来越依赖成像设备进行研究。这些科学家有许多收集数据的工具,但用于自动化分析的资源却很少。在本论文中,我们报告了与不同利益攸关方的讨论,以确定社区需要,并为正在开发的海洋科学分析工具制定一套功能要求。我们与在蓝经济空间工作的个人进行了36次深入访谈,揭示了妨碍开发有效成像分析海洋科学监测工具的四个核心问题。我们还查明了12个将参与这些服务的用户类型。此外,我们与来自35个国家的246名参与者举办了一个讲习班,以FathomNet为中心,这是一个网上开放源的海洋研究附加说明图像数据库。这些讨论的结果正在用来界定海洋展望AI的特征集和界面设计,这是提高海洋生命观测能力的一套工具和服务。</s>