Understanding People’s Experience for Physical Activity Planning and Exploring the Impact of Historical Records on Plan Creation and Execution

Title of the Paper

Understanding People’s Experience for Physical Activity Planning and Exploring the Impact of Historical Records on Plan Creation and Execution

Paper Information

• Domain: Human Factors and Health Computing
• Keywords: Physical activity, planning, self-reflection, mobile health, personal informatics, qualitative research, historical records, plan execution barriers, data visualization, behavior change

Research Background and Problem

• Identified Issues or Challenges:

  • Although physical activity planning can help transform health behavior intentions into actions, there are still numerous challenges in creating and executing health behavior plans, such as time conflicts, contextual factors (e.g., weather, mood), and unexpected events.
  • It remains unclear how historical records can be used to assist people in analyzing and improving future physical activity plans.

• Importance of the Problem:

  • Physical activity helps reduce the risk of chronic diseases and improves mental health, yet less than 25% of American adults meet the recommended activity standards.
  • Supporting planning behaviors to increase physical activity levels is crucial for public health.

• Motivation and Related Work:

  • Existing research suggests that historical records may help individuals learn from past behaviors, but there is a lack of empirical data on how people interpret historical planning records and use them to address challenges in plan execution.
  • This study fills this knowledge gap by designing tools and exploring the impact of historical records on physical activity planning and execution behaviors.

Solution

• Methods or Solutions:

  • The study developed two versions of a mobile application called Physicify (one with historical record references and one without) as research tools to explore how people plan and execute physical activities in their daily lives.
  • A 28-day user study was conducted in two phases: 14 days without historical record references (Physicify 1) and 14 days with historical record references (Physicify 2).
  • By analyzing the planning behavior of 17 participants over time, the study examined whether historical records help users identify new opportunities for physical activity.

• Innovations:

  • Combined qualitative research methods with user experience analysis based on historical records, proposing personalized health planning visualization and strategy support.
  • Incorporated contextual information (e.g., weather, scheduled events) to help users learn from history, improve plan quality, and address execution barriers.

• Implementation Steps and Key Techniques:

  1. Phase 1: Used Physicify 1 to record users’ plan creation and execution, aiming to understand the experience and challenges of planning without historical record references.
  2. Phase 2: Used Physicify 2 to provide users with historical records (including plans, completion rates, reasons for failure) to support planning and observed changes in user behavior.
  3. Data Collection: Daily reports on physical activity completion; multiple semi-structured interviews to understand planning experiences and reflections on historical records.
  4. Data Analysis: Conducted qualitative coding analysis of interview records to summarize changes in user behavior.

Research Outcomes

• Specific Findings:

  • Identified key factors influencing plan creation: daily routines, anticipated energy levels, and past physical activity experiences.
  • Recognized major barriers to plan execution: unexpected events, influence of adjacent events, and physical or mental fatigue.
  • Users gained insights from historical records on how to avoid unexpected events, reschedule to reduce disruptions, and determine feasible planning conditions.

• Advantages Over Existing Solutions:

  • Demonstrated how historical records can go beyond simple data storage by helping users improve plan quality and execution strategies through contextual connections.
  • Provided practical examples of designing planning support tools for future actions (e.g., visualization design, failure analysis).

• Experimental or Evaluation Results:

  • Participants generated 248 plans during the experiment, with an average completion rate of 70.4%.
  • In the second phase, with historical record references, six participants reported significant reductions in execution barriers (e.g., avoiding disruptions from unexpected events).
  • The structured presentation of historical records helped participants explore reasons for failure and optimize conditions for future plans.

• Limitations and Future Directions:

  • Limitations:
    • Small sample size and gender imbalance (only one male participant, 16 female participants).
    • The study primarily included young to middle-aged adults, excluding older adults or individuals with health limitations.
    • Short experimental duration; further observation is needed for long-term interventions and improvements in completion rates.
  • Future Directions:
    • Explore how to dynamically integrate more contextual details (e.g., probability of disruptions at specific time points) into the tool.
    • Investigate the specific needs and impacts of historical record-assisted design for different population groups (e.g., older adults).
    • Conduct long-term studies on how historical records support sustainable health behavior changes.