SwitchTube: A Proof-of-Concept System Introducing "Adaptable Commitment Interfaces" as a Tool for Digital Wellbeing

Document Title

SwitchTube: A Proof-of-Concept System Introducing “Adaptable Commitment Interfaces” as a Tool for Digital Wellbeing

Document Information

• Topic Area: Digital Wellbeing and User Interface Design
• Keywords: Digital Wellbeing, Social Media, YouTube, Commitment Devices, Adaptable Interfaces

Research Background and Problem Statement

• Identified Problems or Challenges:

  1. YouTube attracts user attention through features like recommendation systems and autoplay, which may conflict with users' long-term usage goals.
  2. Screen Time Tools often help users manage their screen usage by enforcing time limits but fail to distinguish between content users genuinely wish to consume and distracting content.
  3. These tools may lead to excessive restrictions, triggering psychological resistance in users and failing to meet diverse user needs.

• Significance:
  Digital media temptations are among the most challenging areas for users to control. Optimizing design to support user autonomy and long-term goals is crucial for digital wellbeing.

• Research Motivation and Related Work:
  Existing designs have explored "Commitment Interfaces," but challenges remain in terms of rigidity or excessive restrictions. This study aims to explore a new design concept, "Adaptable Commitment Interfaces," to strike a balance between supporting user autonomy and meeting diverse user needs.

Solution

• Proposed Method or Solution:
  Design and develop the SwitchTube application, which includes three versions:

  1. Explore Version: Prioritizes recommended videos, supporting low autonomy.
  2. Focus Version: Search-prioritized interface, supporting moderate autonomy by reducing interference from recommended content.
  3. Switch Version: Allows users to freely switch between "Explore Mode" and "Focus Mode," offering high autonomy.

• Innovative Features:
  The innovation of Adaptable Commitment Interfaces lies in enabling users to switch usage modes based on immediate needs, rather than enforcing screen time or content restrictions, thus avoiding psychological resistance associated with traditional screen health tools.

• Implementation Steps and Key Technologies:

  1. User Needs Survey: Conducted a questionnaire survey with 606 U.S. YouTube users to understand their video usage needs.
  2. Design Iteration: Refined the three versions through prototype design and co-design with users.
  3. Technical Development: Developed the Android version of the SwitchTube application, integrating YouTube Data API and Google Custom Search API.
  4. Field Experiment: Deployed the application and conducted a three-week user test with 46 participants.
  5. Data Collection and Analysis: Evaluated user behavior and experience comprehensively through log data, experience sampling, questionnaires, and interviews.

Research Findings

• Specific Results Achieved:

  1. Comparisons revealed that the Switch Version scored highest in autonomy, satisfaction, and alignment with personal goals.
  2. The Focus Version effectively reduced distractions and enhanced purposeful usage.
  3. The Explore Version met some users' exploration needs through recommended content but received lower overall experience scores.
  4. Four switching usage scenarios were identified, including curiosity-driven exploration, discovering new content, and switching between modes during conversations.

• Advantages Over Existing Solutions:
  Compared to traditional screen time tools, SwitchTube offers a more flexible solution that does not enforce usage time limits but still helps users reduce distractions and non-goal-oriented content.

• Experiment or Evaluation Results:

  • On dimensions of Sense of Agency (autonomy), Satisfaction, and Goal Alignment, the Switch Version performed best.
  • The Focus Version excelled in reducing distractions and improving goal alignment but had lower overall satisfaction compared to the Switch Version.

• Limitations and Future Directions:

  1. Limitations:
     • The Explore Version in the experiment did not implement YouTube's personalized recommendation system, which may impact the representativeness of results in real usage scenarios.
     • The experiment could not measure the spillover effect of SwitchTube on overall YouTube usage time.
  2. Future Directions:
     • Develop adaptive commitment interfaces based on user search intent.
     • Further investigate how recommendation algorithms can be optimized through design to support digital wellbeing goals.
     • Explore ways to balance commercial models with user health objectives.

Postscript

This study provides strong insights into design practices for digital wellbeing by creating an innovative tool, particularly in supporting user autonomy and diverse needs.