Understanding Marine Scientist Software Tool Use

Visualization Perception & CognitionMedical & Scientific Data VisualizationUniversity Professors & Researchers

Research Background and Issues

  • What problems or challenges did the authors identify?
    Marine science researchers exhibit significant individualization and decentralization in their use of software tools (e.g., statistical packages like R, SPSS, data visualization tools such as Ocean Data View), referred to as "fragmentation." This fragmentation manifests in limited technical knowledge, inconsistent practices, redundant tool development, and difficulties in collaboration and resource sharing.

  • Why is this issue important?
    Software tools play a critical role in marine science, especially in data collection, processing, analysis, and visualization. However, this fragmentation may hinder scientific reproducibility, efficiency, the advancement of open science, and collaboration among interdisciplinary researchers.

  • Research Motivation and Related Work
    Previous studies have focused on how scientists develop software, the reproducibility of scientific computing, and the segmentation of data analysis stages. However, there has been little research on the overall practices of software tool usage in marine science. This study aims to comprehensively understand how marine scientists use software tools and propose recommendations for improving user interface design to support more effective tool usage.

Solutions

  • What methods or solutions did the authors propose?
    The authors conceptualized "fragmentation" to describe the current state of software tool usage among marine scientists, identifying five specific forms of fragmentation:

    1. Individualized perspectives on domain practices.
    2. Use of ad hoc, informal software engineering methods in scientific computing.
    3. Resistance to using unfamiliar tools.
    4. Preference for creating tools from scratch.
    5. Limited scope of tool impact.

    Based on this, the authors proposed three user interface design priorities:

    1. Develop robust and user-friendly graphical interface tools.
    2. Encourage "integrated development efforts" to foster deep collaboration between researchers and technical teams.
    3. Design systems that support discovery and connection, helping users understand existing tool functionalities and tools used by others.
  • What is innovative about this solution?
    The concept of fragmentation is not intended to solve the issue but to vividly depict and acknowledge the dual nature of this phenomenon, while exploring ways to mitigate its negative effects. The study further emphasizes designing tools centered on scientists' practices rather than forcing scientists into software engineering paradigms.

  • What are the implementation steps and key technologies used?

    1. Conducted in-depth interviews with 23 marine science researchers using a constructivist grounded theory approach to describe their software usage.
    2. Coded and analyzed interview data to develop the concept of fragmentation and its contextual relevance.
    3. Based on this, proposed design priorities to coexist with fragmentation, such as improving graphical interfaces to support open science and code reuse, and enhancing tool discoverability.

Research Outcomes

  • What specific outcomes were achieved?
    The study analyzed interview data to identify five specific manifestations of fragmentation in marine scientists' software tool usage and their contextual relevance. These findings provide foundational insights for improving design. The authors also summarized how user interface design can better support marine scientists.

  • What advantages does it have compared to existing solutions?

    1. Offers a more practical, multidimensional understanding rather than being limited to a software engineering perspective.
    2. Emphasizes seamless integration with existing tools and workflows rather than forcing scientists to adopt new tools.
    3. Proposes building more user-friendly graphical interfaces to reduce reliance on code-centric tools in academia.
  • What are the experimental or evaluation results?
    The authors summarized the advantages and disadvantages of widely used code-based and graphical tools during the study. The proposed design priorities are grounded in a deep understanding of existing fragmentation phenomena.

  • Limitations and Future Directions

    • Limitations: The study focuses on a single marine science environment in North America, which may not fully represent other global scientific domains.
    • Future Directions: Apply the "fragmentation" model to other scientific fields, explore how to address the practical needs of different disciplines, and test the practical effectiveness of the proposed user interface design recommendations.

Conclusion

This paper describes the "fragmentation" phenomenon in marine scientists' software tool usage, clarifying the challenges and commonalities in current practices, and proposes corresponding design recommendations. The study emphasizes not only recognizing the negative effects of fragmentation but also understanding its unique necessity in scientific research. The authors' user interface design priorities provide valuable directional guidance for improving future scientific computing tools.

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https://hci.top/en/papers/chi/188403/2025

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DOI: https://dl.acm.org/doi/10.1145/3706598.3713621
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CHI
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2025
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Visualization Perception & Cognition, Medical & Scientific Data Visualization
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University Professors & Researchers
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