Challenges and Opportunities of Using Redirection of Activity for Self-Regulation Online

Title of the Paper

Challenges and Opportunities of Using Redirection of Activity for Self-Regulation Online

Bibliographic Information

• Field of Study: Human-Computer Interaction (HCI) and Digital Behavior Change
• Keywords: Self-regulation, User Experience Evaluation, Procrastination, Microlearning, Self-control, Productivity Management

Research Background and Issues

• Identified Problems or Challenges:

  • With the diversification of online content and the blending of work and entertainment within browsers, individuals face challenges in self-regulation and time management.
  • Existing tools (e.g., software that blocks distracting websites) can enhance productivity but may cause stress or dissatisfaction among users.
  • There is a lack of practical research on "activity redirection strategies," which involve guiding users from "time-wasting" websites to more productive websites or activities.

• Significance:

  • Many professions rely on computers for work, and the prevalence of online distractions and procrastination significantly impacts work efficiency and mental health.
  • Effective digital interventions can enhance users' self-control while reducing distractions and stress.

• Research Motivation and Related Work:

  • Traditional behavior control tools (e.g., website blockers, time trackers, self-reward mechanisms) face issues such as high abandonment rates and user resistance.
  • Existing studies suggest that "activity redirection" strategies may offer a gentler solution, avoiding complete blocking while guiding users toward constructive activities.
  • This paper aims to explore the effectiveness of this strategy and the specific challenges and opportunities it presents.

Solution

• Proposed Method or Solution:

  • Develop and utilize a browser extension called “Aiki,” which intercepts users' attempts to visit "time-wasting" websites and redirects them to online programming platforms conducive to learning (e.g., Codecademy, Sololearn, or Udemy).
  • Through activity design, users can access pre-designated "time-wasting" websites after spending a specified amount of time on learning pages, forming a "controlled procrastination" model.

• Innovative Aspects:

  • Proposes "activity redirection" as an alternative to direct blocking, incorporating microlearning content as a "reward."
  • Introduces flexible user customization features, such as setting activity time periods and allowing users to pause redirection, creating a more independent and user-driven design.

• Implementation Steps and Key Technologies:

  1. Develop the new Aiki extension, simplifying the user interface and enhancing user experience by adding features like drag-and-drop buttons, countdown timers, and customizable time settings.
  2. Conduct a 12-week experiment, including 4 weeks of baseline user behavior collection (without intervention) and 8 weeks of Aiki usage.
  3. Collect user data (e.g., redirection frequency, time spent on learning platform pages), time statistics for procrastination websites, and qualitative feedback on the system.
  4. Quantitatively evaluate changes in Python knowledge proficiency using standardized test results, supplemented by qualitative data from user surveys and interviews.

Research Findings

• Specific Results:

  • On average, the use of Aiki reduced the time users spent on "time-wasting" websites while improving their Python knowledge levels.
  • User evaluations of the extension's usability and experience were mixed; some users completely avoided "time-wasting" websites, but this also reduced opportunities to visit learning platforms.

• Comparison with Existing Solutions:

  • Compared to complete blocking tools, Aiki's "controlled procrastination" model provides users with greater autonomy and flexibility.
  • However, similar to blocking tools, poor design (e.g., overly complex or disruptive behavior patterns) may lead to high abandonment rates.

• Experimental or Evaluation Results:

  1. Time spent on "time-wasting" websites in the browser significantly decreased during the experimental phase (p=0.005).
  2. Users' Python test scores significantly improved after the intervention (p<0.001), demonstrating the potential of "learning guidance."
  3. Some users reported becoming more aware of their procrastination habits through Aiki, but also mentioned that the system's learning redirection feature occasionally increased cognitive load.

• Limitations and Future Directions:

  • Limitations:
    1. Small sample size (19 participants), with some users abandoning the system before the experiment concluded, affecting the analysis of long-term effects.
    2. Operates only on the Chrome browser, without considering cross-platform behaviors (e.g., smartphones).
    3. Lacks exploration of user freedom in choosing learning platforms.
  • Future Directions:
    1. Optimize user autonomy by allowing customization of "redirect-to" websites.
    2. Explore design strategies to reduce cognitive load, such as simpler microlearning content or more engaging tasks.
    3. Improve the tool's sustainability design to mitigate abandonment after the novelty effect wears off.