Visual Interactive Privacy Policy: The Better Choice?

Uncertainty VisualizationPrivacy by Design & User ControlPrivacy Perception & Decision-MakingLawyers & Legal ResearchersPrivacy Policy Makers

Title of the Paper

Visual Interactive Privacy Policy: The Better Choice?

Bibliographic Information

  • Subject Area: Online Privacy Policy Design and User Experience
  • Keywords: Privacy, Privacy Policy, Visual Privacy Policy, User Experience, Visual Interactive Design, Human-Computer Interaction

Research Background and Issues

  • Identified Problems or Challenges:

    1. User experience issues with online privacy policies (Privacy Policy Long Text, PPLT) are severe, as their excessive length, complex technical language, and high reading difficulty often lead users to ignore them.
    2. Although existing studies have proposed some visual representations of privacy policies, they primarily focus on improving user comprehension without exploring the impact on user experience and business interests (e.g., conversion rates, trust, transparency).
    3. Many visual designs lack dynamic interactivity and have not been widely adopted in practical applications.
  • Significance of the Research: Optimizing the presentation of privacy policies can enhance user attention, perceived transparency, and policy comprehension, thereby enabling users to make more informed decisions. This also holds potential commercial value in improving corporate image and trust.

  • Research Motivation:

    1. Investigate users' core needs and preferences regarding privacy policies to address shortcomings in existing visual designs.
    2. Explore new visual and interactive representations of privacy policies to improve user experience.
  • Research Questions:

    1. How can a visual interactive privacy policy (VIPP) be designed to outperform traditional textual privacy policies?
    2. Does VIPP outperform existing designs (e.g., Nutrition Label) in terms of user experience and attitudes toward the policy provider?

Proposed Solution

  • Proposed Solution:
    This study introduces a design prototype of a Visual Interactive Privacy Policy (VIPP). The design builds upon the existing "Privacy Nutrition Label," incorporating interactivity, direct control options, and color hierarchies to enhance usability and comprehension.

  • Innovations:

    1. Added interactive features, such as hover-over tooltips, expandable content, clickable cells for additional information, and direct privacy control options (e.g., data usage permission toggle buttons).
    2. Eliminated lengthy legend explanations, replacing technical terms with more universally understandable everyday language to lower comprehension barriers.
    3. Evaluated the design across multiple dimensions, including experience, transparency, trust, and conversion rates, rather than limiting the focus to comprehension improvement.
  • Implementation Steps and Key Techniques:

    1. Conducted preliminary research through user interviews and qualitative analysis to identify users' core concerns regarding privacy policy content (e.g., data collection, data usage, data disclosure).
    2. Designed and compared five visual representations of privacy policies, including the existing Nutrition Label, Privacy Policy Comic, and three new designs (Privacy Policy Short Text, Sankey Diagram, Mind Map).
    3. Extracted design guidelines based on user feedback (e.g., optimizing information hierarchy, showcasing user control options, avoiding technical jargon) and developed the VIPP prototype accordingly.
    4. Conducted experimental research to compare three privacy policy designs (PPLT, Nutrition Label, VIPP) in terms of user experience and attitudes, evaluating their optimization levels.

Research Findings

  • Specific Findings:

    1. VIPP significantly increased user dwell time on privacy policies.
    2. In terms of attractiveness, stimulation, and novelty, VIPP scored significantly higher than PPLT and partially surpassed the Nutrition Label.
    3. VIPP outperformed PPLT in perceived transparency but did not show significant advantages in perceived trust, perceived control, or willingness to keep an account.
  • Advantages:

    1. Compared to traditional textual privacy policies, VIPP performed better across multiple user experience dimensions.
    2. Interactive features enhanced user engagement and operational convenience, addressing the shortcomings of the Nutrition Label.
  • Experimental or Evaluation Results:

    • The average user dwell time for VIPP increased significantly to 66.88 seconds, compared to 30.64 seconds for the Nutrition Label and 23.22 seconds for PPLT.
    • Attractiveness scored 1.01 (Nutrition Label: 1.02, PPLT: 0.34).
    • In terms of "willingness to keep an account" (conversion rate), there were no significant differences among the three methods, with VIPP scoring 40%.
  • Limitations and Future Directions:

    1. Sample Limitation: The experiment primarily involved students with technical backgrounds, and its applicability to a broader audience remains to be verified.
    2. Experimental Context Limitation: The virtual experimental environment of an online shopping site might reduce the real-world applicability of the results.
    3. Methodological Improvements: Future research should explore ways to further enhance users' perceptions of control and trust, incorporating psychological experimental methods such as eye-tracking to evaluate the design's direct impact on user attention and comprehension.
    4. Legal Perspective: Evaluate the legal substitutability of interactive privacy policies to ensure their practical implementation value.

Conclusion

This study proposed an innovative interactive visual privacy policy design called VIPP and conducted empirical research from the perspectives of user experience and commercial value. The findings suggest that visual design can improve user experience, but further exploration is needed to understand its impact on transparency and commercial conversion (e.g., trust and account retention willingness).

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https://hci.top/en/papers/chi/47364/2021

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DOI: https://doi.org/10.1145/3411764.3445465
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Source
CHI
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Year
2021
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3 authors
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Subtopics
Uncertainty Visualization, Privacy by Design & User Control, Privacy Perception & Decision-Making
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Lawyers & Legal Researchers, Privacy Policy Makers
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