“I finally felt I had the tools to control these urges”: Empowering Students to Achieve Their Device Use Goals With the Reduce Digital Distraction Workshop

Title of the Paper

“I finally felt I had the tools to control these urges”: Empowering Students to Achieve Their Device Use Goals With the Reduce Digital Distraction Workshop

Paper Information

• Research Domain: Digital Self-Control Tools (DSCTs), Digital Well-being, and Attention Management
• Keywords: Digital self-control, digital well-being, attention management, distraction reduction, multi-device use, self-regulation

Research Background and Problem Statement

• Issues and Challenges

  • Digital devices (e.g., smartphones, computers) easily cause distractions, negatively impacting productivity, social relationships, and mental health.
  • While many Digital Self-Control Tools (DSCTs) exist, most are designed for single devices or applications, failing to account for users' multi-device usage scenarios and diverse goals.
  • Among students, self-control issues with digital device usage are prevalent, yet research on selecting and applying suitable combinations of DSCTs is limited.

• Significance of the Research

  • A large student population faces academic and mental health challenges due to distractions from device usage.
  • Bridging the gap between academic research and practical applications can more effectively support digital well-being.

• Motivation and Related Work

  • Existing studies focus on evaluating the effectiveness of individual tools but lack a systematic framework to help users identify and select appropriate tools across devices.
  • There is a call for more personalized solutions to match users' specific needs and goals.

Proposed Solution

• Methods and Solution

  • Developed an online workshop called the “Reduce Digital Distraction Workshop” to help students:
    1. Reflect on their device usage patterns and goals.
    2. Explore and select appropriate Digital Self-Control Tools (DSCTs).
    3. Customize and implement these tools based on individual needs.

• Innovations

  • Provides a variety of cross-device digital self-control strategies, allowing participants to personalize their tool combinations.
  • Integrates self-regulation theories from psychology with the design and development of tools.
  • Created an open dataset of usage data for future research in digital well-being.

• Implementation Steps

  1. Reflection: Guide participants to identify external triggers and internal impulses in their device usage and clarify their goals.
  2. Exploration: Use a card-sorting task and workshop website to introduce 13 digital self-control strategies, such as blocking distractions, time tracking, and goal reminders.
  3. Commitment: Ask participants to select 1-2 strategies and define an action plan.

Research Outcomes

• Key Findings

  • 280 participants tried and evaluated 13 digital self-control strategies during the workshop.
  • In follow-up surveys conducted 1 to 3 months later, 95% of participants continued using at least one digital self-control strategy, with an average of two tools still in use.
  • Quantitative results showed a significant improvement in participants' digital self-control scores (measured using an adapted “Brief Digital Self-Control Scale”), with a large effect size (Cohen’s d = 0.93).

• Comparison with Existing Methods

  • Proposed a more flexible, multi-device-supported framework for selecting and applying tools.
  • Addressed the lack of attention to users' heterogeneous self-control goals in cross-device scenarios in existing research.

• Experimental Evaluation Results

  • Tool Selection and Usage:
    • The most popular strategies included hiding distracting elements (84% of participants found it useful) and focus timers.
    • Usage patterns revealed highly personalized combinations, with 91% of strategy combinations used by only a single participant.
  • Qualitative Feedback:
    • Participants reported feeling more in control, more mindful of their device usage, and better able to balance device use with other life activities.

• Limitations and Future Directions

  • Limitations:
    • This study was an open experiment without a control group, making it difficult to precisely quantify the intervention's effects.
    • Data relied primarily on self-reports, which may introduce subjective bias and inaccuracies.
    • The sample was heavily skewed toward students who self-reported device usage issues, limiting generalizability to broader populations.
  • Future Directions:
    1. Incorporate control groups or long-term tracking mechanisms to validate the robustness of the intervention's effects.
    2. Develop more automated and time-efficient tool versions to support independent use by diverse populations.
    3. Explore how to enhance user interface customization, particularly within mobile applications, to promote broader adoption of DSCTs across devices.