Linguistic Dead-Ends and Alphabet Soup: Finding Dark Patterns in Japanese Apps

Title of the Paper

Linguistic Dead-Ends and Alphabet Soup: Finding Dark Patterns in Japanese Apps

Paper Information

• Subject Area: Human-Computer Interaction and Design Ethics
• Keywords: Dark Patterns, Deceptive Design, Persuasive Design, Ethical Design, App Design, Japan

Research Background and Problem

• What problems or challenges did the authors identify?

  • Dark Patterns are user interface designs intended to manipulate or coerce users into actions that benefit the interface provider but often go against the user's intentions. While this concept has been extensively studied in Western contexts, research on Dark Patterns in Japan and other East Asian regions remains scarce.
  • The rapid growth of Japan's mobile app market may have led to the widespread use of Dark Patterns, yet research and evaluation in this area are still lacking.

• Why is this problem important?

  • Dark Patterns can negatively impact users by violating their privacy, going against their intentions, and making it difficult for them to recognize these increasingly sophisticated "design traps." Given the rapid development of Japan's internet usage and e-commerce market, this issue is critical for consumer rights protection.

• Research Motivation and Related Work

  • This study aims to fill the gap in research on Dark Patterns in Japan and analyze them in the Japanese app market through a culturally sensitive approach.
  • The authors reviewed Western research on Dark Patterns, including classification methods and analytical frameworks, and explored how these findings could be extended to East Asian contexts.

Solution

• What methods or solutions did the authors propose?

  • The authors analyzed 200 popular mobile applications in the Japanese market using a framework similar to those used in Western studies. These apps were categorized into eight major categories, and the authors expanded on existing classifications (the five types of Dark Patterns proposed by Gray et al.) by identifying a new category of Dark Patterns: "Linguistic Dead-Ends."
  • They proposed two new subcategories: Untranslation and Alphabet Soup, which describe specific forms of language barriers in Japanese apps.

• What is innovative about this solution?

  • The discovery of a new type of Dark Pattern, "Linguistic Dead-Ends," which had not been explicitly identified in Western research.
  • The introduction of a cross-cultural perspective, comparing the types and distribution of Dark Patterns in Japanese and American apps, revealing the influence of culture and language on Dark Pattern design.

• What are the implementation steps? What key techniques were used?

  • Screen recordings of 200 popular Japanese apps were conducted (each app was used for 10 minutes), and their features and user interface interactions were analyzed for Dark Pattern types.
  • A team of two researchers evaluated the recorded video content and categorized the identified Dark Patterns based on existing classification frameworks.
  • A comparative analysis was conducted between Dark Patterns in Japanese apps and Western data to explore cultural differences.

Research Findings

• What specific findings were achieved?

  • The identification of a new category of Dark Patterns, "Linguistic Dead-Ends," and its two subcategories:
    • Untranslation: Parts of an app's functionality or content are presented in a language unfamiliar to the user without providing translation, making it difficult to understand critical information.
    • Alphabet Soup: The use of characters from the local language system to express foreign words, which lack actual meaning or are difficult to comprehend.
  • Japanese apps contained an average of 3.9 Dark Patterns, lower than the 7.4 average found in American apps. This difference may be related to language, culture, and publisher policies.
  • Among the overall distribution, "Preselection" was the most common subcategory, followed by "False Hierarchy" and "Nagging."

• What advantages does it have compared to existing solutions?

  • Cross-cultural research perspective: It explores Dark Patterns in non-Western language and cultural contexts and examines the cultural applicability of Dark Patterns.
  • The classification framework for Dark Patterns was expanded to include culturally and linguistically sensitive elements, paving the way for future research in this field.

• What were the experimental or evaluation results?

  • The two subcategories of "Linguistic Dead-Ends" were primarily concentrated in communication and photography apps.
  • Compared to American findings, certain Dark Patterns (e.g., aesthetic manipulation, privacy-driven forms) were significantly less prevalent in Japanese apps, possibly due to stricter guidelines and regulations in the Apple App Store.

• Limitations and Future Directions

  • Limitations:
    1. Due to ethical restrictions, the full list of analyzed apps cannot be disclosed.
    2. Other technical settings or interaction scenarios (e.g., web design) were not studied.
    3. Human-participant user research has not yet been conducted.
  • Future Directions:
    1. Further validation of whether "Linguistic Dead-Ends" exist in other languages and cultural contexts.
    2. Expanding this research to different types of interfaces and devices, including non-mobile apps and websites.
    3. Collaborating with companies to explore designers' decision-making processes in deploying Dark Patterns and their impacts.

References

The authors provided detailed references for each section to support their analytical framework and research methods. For more details, refer to the original list of citations.