Coping with Digital Wellbeing in a Multi-Device World

Context-Aware ComputingNotification & Interruption ManagementWorkplace Wellbeing & Work Stress

Title of the Paper

Coping with Digital Wellbeing in a Multi-Device World

Paper Information

  • Subject Area: Digital Wellbeing, User Behavior, Self-Regulation Tool Design
  • Keywords: Digital Wellbeing, Multi-Device, Technology Overuse, Self-Regulation, User Interviews

Research Background and Problem Statement

  • What problems or challenges did the authors identify?
    Existing digital self-control tools (DSCTs) primarily focus on single-device environments (e.g., smartphones) and fail to adequately consider scenarios where users operate multiple devices. These single-device-centric tools struggle to fundamentally address users' digital wellbeing issues. Furthermore, simultaneous use of multiple devices can lead to fragmented task management, negatively impacting users' attention and efficiency.

  • Why is this issue important?
    In the information society, excessive use of technology can result in negative psychological and social consequences, such as loss of attention, decreased productivity, and increased anxiety. As users increasingly engage with multiple devices, the complexity and significance of multi-device digital wellbeing challenges grow.

  • Research Motivation and Related Work
    Based on an empirical analysis of 322 existing DSCTs, the authors found that these tools largely fail to address issues in multi-device scenarios. Additionally, through interviews and user studies, they uncovered behavioral patterns associated with multi-device usage and its impact on digital wellbeing, aiming to provide guidance for designing more effective digital wellbeing solutions.

Proposed Solutions

  • What methods or solutions did the authors propose?

    • System Evaluation: Analyzing 322 existing DSCTs to understand their shortcomings in multi-device settings.
    • User Research: Conducting interviews and co-design activities to explore how users perceive digital wellbeing issues in multi-device usage and how they can improve related behaviors.
    • Design Directions: Proposing a design agenda for multi-device digital wellbeing, including data integration, cross-device interventions, and digital education.
  • What is innovative about this solution?

    • Unlike traditional single-device tools, the proposed approach emphasizes cross-device integration to capture the complex behavioral patterns of users in multi-device environments.
    • It highlights the critical role of learning and education rather than solely relying on restrictive mechanisms, which represents an emerging perspective in the field of digital wellbeing.
  • What are the implementation steps and key technologies used?

    1. System Evaluation: Analyzing tool functionalities, organizing functional codes, and generating a classification of multi-device features.
    2. User Research: Conducting background interviews to understand users' multi-device usage habits; designing interactive tools and behavior modification suggestions; having users create conceptual design sketches.
    3. Future Recommendations: Designing new DSCTs based on data integration, adaptive intervention tools, and educational practices that promote learning.

Research Outcomes

  • What specific results were achieved?

    • Found that 90.73% of existing DSCTs do not consider multi-device scenarios and only cater to single devices.
    • Identified four key themes through co-design and interviews: (1) the role of technological sources; (2) the underlying connections between tasks; (3) the desire for improvement; (4) solutions transitioning from intervention to education.
    • Users explicitly called for more integrated digital tools capable of analyzing data from multiple devices and performing context-aware adaptive interventions.
  • What advantages does it have compared to existing solutions?

    • The proposed solution is more innovative in terms of user data integration and multi-task adaptability, better addressing the actual needs of multi-device users.
    • Unlike existing solutions that primarily rely on "forced interventions," it places greater emphasis on user learning, habit reshaping, and technology education for children and adolescents.
  • What were the experimental or evaluation results?

    • User interviews revealed common challenges in multi-device usage scenarios, such as unconscious switching between devices, notification disruptions, and the negative impact of these behaviors on digital wellbeing.
    • Most users expressed dissatisfaction with the inability of existing tools to effectively improve digital wellbeing and showed a preference for physical self-intervention strategies.
  • Limitations and Future Directions

    • Limitations: Small sample size, limited to users within a specific age range and cultural background; insufficient validation of the design framework in real-world environments.
    • Future Directions: Expanding research across different cultural and age groups; implementing and validating DSCTs based on data integration, multi-device interventions, and educational promotion; exploring the ethical responsibilities of the tech industry and the implementation of digital wellbeing policies.

Advancing research in the field of digital wellbeing will help develop more practical multi-device tools that promote user self-regulation. Combining education and policy efforts can further enhance societal awareness and norms around healthy technology use.

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https://hci.top/en/papers/chi/47211/2021

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DOI: https://doi.org/10.1145/3411764.3445076
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2021
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Context-Aware Computing, Notification & Interruption Management, Workplace Wellbeing & Work Stress
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