U!Scientist: Designing for People-Powered Research in Museums
Mmachi God'sglory Obiorah, James K. L. Hammerman, Becky Rother, Will Granger, Haley Margaret West, Michael S. Horn, Laura Trouille
摘要
Scientists have long sought to engage public audiences in research through citizen science projects such as biological surveys or distributed data collection. Recent online platforms have expanded the scope of what people-powered research can mean. Science museums are unique cultural institutions that translate scientific discovery for public audiences, while conducting research of their own. This makes museums compelling sites for engaging audiences directly in scientific research, but there are associated challenges as well. This project engages public audiences in contributing to real research as part of their visit to a museum. We present the design and evaluation of U!Scientist, an interactive multi-person tabletop exhibit based on the online Zooniverse project, Galaxy Zoo. We installed U!Scientist in a planetarium and collected video, computer logs, naturalistic observations, and surveys with visitors. Our findings demonstrate the potential of exhibits to engage new audiences in collaborative scientific discussions as part of people-powered research.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper1
问问它们各自怎么用它相关 Paper
- How Personal Value Orientations Influence Behaviors in Digital Citizen ScienceEunmi (Ellie) Jeong, Corey Jackson, Liz Dowthwaite, Cliff Johnson 等CSCW 2024 · 被引用 4 次
- Data Bias Recognition in Museum Settings: Framework Development and Contributing FactorsStella Quinto Lima, Gabriela Buraglia, Wong Kam-Kwai, Jessica RobertsCHI 2025 · 被引用 8 次
- Collaboration around Multi-touch Spherical Displays: A Field Study at a Science MuseumNikita Soni, Ailish Tierney, Katarina Jurczyk, Schuyler Gleaves 等CSCW 2021 · 被引用 7 次
- Sea of Genes: A Reflection on Visualising Metagenomic Data for MuseumsKeshav Dasu, Kwan-Liu Ma, Joyce Ma, Jennifer FrazierIEEE VIS 2020 · 被引用 14 次
- Galileo: Citizen-led Experimentation Using a Social Computing SystemVineet Pandey, Tushar Koul, Chen Yang, Daniel McDonald 等CHI 2021 · 被引用 13 次
