Ecology Meets Computer Science: Designing Tools to Reconcile People, Data, and Practices
Kellie Vella, Jessica L. Oliver, Tshering Dema, Margot Brereton, Paul Roe
摘要
Ecoacoustics draws together computer scientists and ecologists to achieve an understanding of ecosystems and wildlife using acoustic recordings of the environment. Computer scientists are challenged to manage increasingly large datasets while developing analytic and visualisation tools. Ecologists struggle to find and use tools that answer highly heterogeneous research questions. These two fields are naturally drawn together at the tool interface, however, less attention has been paid to how their practices influence tool design and use. We interviewed and collected email correspondence from four computer scientists and eight ecologists to learn how their practices indicate opportunities for reconciling difference through design. We found that different temporal rhythms, relationships to data, and data-driven questions demand tool configuration, data integration, and standardisation. This research outlines interfacing opportunities for new ecological research utilising large acoustic datasets, and also contributes to evolving HCI approaches in areas making use of big data and human-in-the-loop processes.
问问这篇 Paper
问问你的智能体。
Lune 读过与它相关的顶会 Paper,每个回答都会注明依据哪几篇。
引用它的顶会 Paper1
问问它们各自怎么用它相关 Paper
- Designing Tools and Interfaces for Ecological Restoration: An Investigation into the Opportunities and Constraints for Technological InterventionsAditi Maheshwari, Abhay Kumar Aggarwal, Andreea DanielescuCHI 2022 · 被引用 8 次
- The Eco-Technical Interface: Attuning to the InstrumentalMaya Livio, Laura DevendorfCHI 2022 · 被引用 47 次
- Using HCI in Cross-Disciplinary Teams: A Case Study of Academic Collaboration in HCI-Health Teams in the US Using a Team Science PerspectiveElena Agapie, Shefali Haldar, Sharmaine Galvez PobleteCSCW 2022 · 被引用 22 次
- Sound Designer-Generative AI Interactions: Towards Designing Creative Support Tools for Professional Sound DesignersPurnima Kamath, Fabio Morreale, Priambudi Lintang Bagaskara, Yize Wei 等CHI 2024 · 被引用 36 次
- From Detectables to Inspectables: Understanding Qualitative Analysis of Audiovisual DataKrishna Subramanian, Johannes Maas, Jan O. Borchers, James D. HollanCHI 2021 · 被引用 4 次
