Defining and Identifying Attention Capture Deceptive Designs in Digital Interfaces

Title of the Paper

Defining and Identifying Attention Capture Deceptive Designs in Digital Interfaces

Paper Information

• Subject Area: Human-Computer Interaction and Digital Well-being
• Keywords: Digital well-being, harmful design, deceptive design, dark patterns, technology overuse, attention economy

Research Background and Problem

• Problem or Challenge:

  • Digital service designs often aim to maximize users' time and frequency of use, which can lead to feelings of regret or dissatisfaction over wasted time.
  • While dark patterns causing financial and privacy harm have been identified, designs that harm user attention lack systematic research.

• Significance:

  • User attention has become a core resource in the digital economy, and designs that harm attention can negatively impact users' mental health and sense of self-efficacy.
  • Systematically identifying these patterns will help designers resist such practices and assist policymakers in regulating them.

• Research Motivation and Related Work:

  • The authors aim to fill this gap through a systematic literature review and provide references for the design and policy communities.
  • Previous research has focused on dark patterns causing financial and privacy issues, but attention harm has been severely overlooked.

Solution

• Method or Solution:

  • The authors propose a definition for "Attention Capture Damaging Patterns" (ACDPs) and identify specific design patterns through a literature review.
  • They collected relevant literature to analyze how digital interfaces exploit psychological vulnerabilities to capture user attention and explored the negative impacts of these designs.

• Innovation:

  • Developed a clear definition and identification criteria to better recognize attention-harming patterns.
  • Proposed a taxonomy based on 11 specific patterns, such as "Infinite Scroll" and "Neverending Autoplay."

• Implementation Steps and Techniques:

  • Conducted systematic literature screening and analysis following PRISMA guidelines.
  • Proposed five major evaluation criteria (e.g., exploitation of psychological vulnerabilities, automation of user experience) and classified patterns based on these criteria.

Research Outcomes

• Specific Outcomes:

  • Identified 11 attention capture damaging design patterns, including:
    • Infinite Scroll
    • Casino Pull-to-Refresh
    • Neverending Autoplay
    • Guilty Pleasure Recommendations
    • Fake Social Notifications
    • And others

• Comparison with Existing Solutions:

  • This taxonomy extends existing dark pattern research by incorporating digital well-being into the discussion.
  • Identifying attention-harming patterns provides designers with a structural tool to resist harmful designs and helps policymakers consider regulatory needs in the attention economy.

• Experimental or Evaluation Results:

  • The identified attention-harming patterns comprehensively cover areas such as social media, video platforms, and digital games.
  • Some patterns, such as "Infinite Scroll," have been proven to affect users' sense of time and self-control, leading to feelings of regret.

• Limitations and Future Directions:

  • Limitations:
    • The primary focus is on social media and digital games, with less attention to other domains.
    • The literature review may not include the most recent research findings.
  • Future Work:
    • Explore the application of ACDPs in other domains (e.g., educational technology and productivity tools).
    • Develop new digital self-control tools to effectively intervene in these harmful patterns.
    • Advocate for new technology business models to reduce coercive attention-capturing behaviors.

Through this systematic review and taxonomy, the authors aim to provide a practical reference framework for designers and policymakers, promoting design practices aligned with user well-being.