Who Do We Mean When We Talk About Visualization Novices?

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Automated Driving Interface & Takeover DesignVisualization Perception & CognitionUniversity Professors & ResearchersHCI Researchers

Title of the Paper

Who Do We Mean When We Talk About Visualization Novices?

Bibliographic Information

  • Subject Area: Target audience research in the field of data visualization, particularly the definition and practice surrounding "novices."
  • Keywords: Data visualization, target audience, novices, research methods, human-computer interaction

Research Background and Problem Statement

  • What issues or challenges did the authors identify?

    • Data visualization technologies have expanded from specialized analysts to the general public and non-expert users (i.e., novices), but the definition of "novices" in research remains unclear and ambiguous.
    • An unclear or inconsistent definition of novices may lead to inappropriate designs, misapplied guidelines, and overgeneralization of research findings.
    • The evaluation of novice groups is often too narrow, with study participants predominantly consisting of young students and U.S. residents.
  • Why is this issue important?

    • Clearly defining novice groups can better serve a broader user base, promoting more universal and inclusive visualization designs.
    • Ambiguous definitions may affect the universality of designs, the applicability of experimental results, and the practical guidance derived from research findings.
  • Research Motivation and Related Work

    • Previous visualization research has repeatedly emphasized improving the experience of novice audiences, such as helping them create visualizations, understand complex charts, or overcome basic analytical challenges in visualization.
    • Eliminating definitional ambiguity and limitations in evaluation methods will advance the field and create meaningful visualization solutions for a wider audience.

Proposed Solution

  • What methods or solutions did the authors propose?

    • Conducted a qualitative analysis of 79 papers from seven core visualization research venues (e.g., TVCG, CHI, EuroVis) that used terms such as "novices," "non-experts," "general public," or "laypeople" in their titles or abstracts.
    • Used content coding and thematic analysis to study the theoretical definitions and practical representations of novices in visualization research.
  • What is innovative about this solution?

    • Introduced a novel review method to analyze the ambiguity of novice definitions and the potential causes behind these issues.
    • Compared theoretical definitions with participant data from practice, highlighting representational issues in actual evaluations.
  • What are the implementation steps? What key techniques were used?

    • Used keyword searches to filter papers from core visualization research venues, excluding content unrelated to the research topic.
    • Coded and systematically analyzed the selected 79 papers, documenting when novice definitions were explicitly stated, implicitly conveyed, and associated with demographic data.
    • Extracted and categorized patterns of novice group definitions, constructing classifications based on themes such as background domain, professional skills, activities, and experiences.

Research Findings

  • What specific findings were obtained?

    • Definition Analysis: Only 15 out of 79 papers provided clear and specific definitions for terms like "novices," with most definitions implied through examples or contrasts.
    • Practical Evaluation Analysis: Study participants were predominantly young academic groups, students, and U.S. residents, indicating a narrow representation of participants.
    • Technical Methodology Analysis: Evaluations in the papers primarily focused on user experience and performance metrics, with limited attention to participants' everyday visualization activities or behavioral observations in complex environments.
  • What advantages does it have compared to existing solutions?

    • Proposed a new template and improvement strategies for evaluating novice definitions, such as requiring researchers to explicitly define terms and clarify the attributes of target audiences.
    • Highlighted the limitations in participant diversity and evaluation methods in current research, suggesting potential directions for expanding studies.
  • What were the experimental or evaluation results?

    • Described how the ambiguity in novice definitions leads to inconsistent research outcomes, including the use of implicit definitions and examples to construct complex reader relationships.
    • Found that visualization designs have limited impact on broad audiences, as current evaluation metrics fail to encompass all variables, from psychological factors to cultural preferences.
  • Limitations and Future Directions

    • Limitations:
      • The analysis was limited to a subset of papers and did not examine related studies using terms other than the specified keywords.
      • The qualitative analysis approach may introduce personal biases and knowledge limitations from the researchers.
    • Future Directions:
      • Definitions of "novices" should be clearer and more transparent, with explicit boundaries and included populations.
      • Address "novice user" groups with atypical technical or cognitive patterns, aiming to encompass a globally diverse range of cultural and social backgrounds.
      • Encourage the adoption of diverse experimental design methods, such as observational studies and daily activity analyses, to more authentically reflect the application effects of visualization technologies.

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https://hci.top/en/papers/chi/96093/2023

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DOI: https://doi.org/10.1145/3544548.3581524
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Source
CHI
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Year
2023
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Authors
5 authors
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Subtopics
Automated Driving Interface & Takeover Design, Visualization Perception & Cognition
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University Professors & Researchers, HCI Researchers
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