U!Scientist: Designing for People-Powered Research in Museums

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Citizen Science & Crowdsourced DataMuseum & Cultural Heritage DigitizationMuseum Curators & ArchivistsSociologists & Anthropologists

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U!Scientist: Designing for People-Powered Research in Museums

Document Information

  • Subject Area: User Interaction Design, Museum Education, Citizen Science
  • Keywords: Citizen Science, Museums, Interactive Tabletop Displays, Multi-user Collaboration, Digital Media, Participatory Science, Gamified Design, Science Education, Crowdsourced Data Collaboration, Science Outreach

Research Background and Issues

  • What problems or challenges did the authors identify?

    1. Current citizen science projects (e.g., the Zooniverse platform) have successfully attracted large user participation, but engaging a broader and younger audience remains a challenge.
    2. Unlike online platforms, museum visitors tend to have shorter engagement times with exhibits (typically ranging from a few seconds to a few minutes), necessitating designs that support quick, unstructured interactions.
    3. Many members of the public lack confidence in their scientific abilities (e.g., fear of making mistakes), which may limit their willingness to participate in scientific activities.
  • Why is this problem important?

    • Museums are ideal venues for communicating science and fostering public engagement, transforming audiences from mere consumers of knowledge into co-creators of knowledge. By designing data-driven scientific exhibits, museums can create seamless experiences for scientific learning and collaborative exchange.
  • Research Motivation and Related Work

    • The authors explored enhancing citizen science participation in museum settings, inspired by the Galaxy Zoo project on the Zooniverse platform.
    • Embedding visitors in real scientific research processes through collaborative multi-touch tabletop displays represents a novel attempt to introduce "people-powered research" into traditional museum education.

Solution

  • What methods or solutions did the authors propose?

    • Creatively designed an interactive multi-touch tabletop exhibit called U!Scientist, incorporating Galaxy Zoo tasks (i.e., classifying galaxy images).
    • Streamlined task workflows by simplifying Galaxy Zoo's complex multi-question classifications into three basic options ("Smooth," "Features or Disk," and "Star or Artifact").
    • Integrated gamification elements into the exhibit, such as a leveling system, where level progression serves as motivation for continued participation.
  • What is innovative about this solution?

    1. Integration of real scientific research: Visitors contribute scientific data by participating in the exhibit, assisting scientists in classifying galaxy images.
    2. Design tailored for quick museum interactions: The exhibit tasks were shortened to be completed within seconds, addressing the brief engagement times of museum visitors.
    3. Support for co-located collaboration: Multi-user interactive design encourages visitors to engage in discussions, exchanges, and collaboration around scientific topics.
    4. Gamified experience: Introduced reward mechanisms (e.g., "leveling up") while ensuring that gamification does not detract from scientific learning.
  • What are the implementation steps and key technologies used?

    1. Preliminary Research: Conducted message testing and paper prototype designs with multiple museum visitors to gather feedback and optimize the design.
    2. Feature Design: The final version of U!Scientist runs on a multi-touch tabletop, allowing users to select and classify images while viewing other users' classification results.
    3. Data Collection: Deployed the interactive exhibit in the museum and collected data through video recordings, tabletop behavior logs, interviews, and surveys to evaluate visitors' actual experiences.

Research Outcomes

  • What specific results were achieved?

    • Natural observation and video analysis showed that U!Scientist successfully attracted visitors. The median dwell time during natural observation was 47 seconds, with more engaged visitors staying for up to 96 seconds.
    • Survey data indicated that visitors found the exhibit easy to operate (majority positive ratings) and enjoyable, with improved scientific attitudes and recognition of their contributions to real science.
    • Video analysis demonstrated how the design supported collaboration among bystanders, particularly interactions between parents and children.
  • What advantages does it have compared to existing solutions?

    • Compared to existing web-based citizen science projects, the exhibit extends asynchronous, distributed collaboration to a new setting: synchronous, face-to-face museum environments.
    • It supports a broader target audience, including children and families, who typically do not participate in citizen science projects.
  • What were the experimental or evaluation results?

    1. 42% of video-recorded participants and 41% of naturally observed participants completed at least one galaxy classification. The average time for a single classification during natural observation was 4.7 seconds.
    2. Students showed significantly increased interest in the exhibit's language and content, demonstrating positive learning outcomes.
    3. On the collaboration level, voice coding revealed that visitors frequently engaged in discussions and interactions regarding category selection.
  • Limitations and Future Directions

    • Limitations:
      1. Children often experienced confusion without adult support, as certain design details failed to effectively accommodate this user group.
      2. The exhibit's "help request" tool in the museum did not fully realize its collaborative potential, with only a portion of requests being addressed.
    • Future Directions:
      1. Optimize the interface to more intuitively convey task information to users of all age groups.
      2. Explore ways to better integrate explanatory content about the target scientific knowledge.
      3. Expand real-time collaboration methods in multi-touch exhibits to further enhance scientific learning and public science engagement.

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https://hci.top/en/papers/chi/47591/2021

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open_in_newOpen DOI Link
DOI: https://doi.org/10.1145/3411764.3445334
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CHI
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Year
2021
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Best Paper
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7 authors
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Subtopics
Citizen Science & Crowdsourced Data, Museum & Cultural Heritage Digitization
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Museum Curators & Archivists, Sociologists & Anthropologists
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