Investigating the Role of Context in the Delivery of Text Messages for Supporting Psychological Wellbeing

Title of the Paper

"Investigating the Role of Context in the Delivery of Text Messages for Supporting Psychological Wellbeing"

Paper Information

• Subject Area: Human-Computer Interaction (HCI), Design of Digital Mental Health (DMH) Tools
• Keywords: Text messages, Mental health, Contextual factors, JITAI (Just-In-Time Adaptive Interventions), Daily schedules, Emotional states, Energy levels, User experience

Research Background and Problem

• Problem or Challenge:

  • Existing digital mental health (DMH) tools often fail to provide precise interventions tailored to users' dynamic needs.
  • Push-based tools (e.g., notifications or text messages) may be perceived as ineffective or even annoying if they are not adapted to users' current context or psychological state.
  • Users' contextual needs and preferences for mental health support tools are not sufficiently understood or incorporated.

• Significance:

  • Digital mental health tools can provide necessary support even when users do not actively seek help.
  • The potential accessibility of digital health resources is particularly valuable for young people, a demographic experiencing a rising prevalence of mental health issues alongside high smartphone adoption rates.

• Motivation and Related Work:

  • Many studies propose Just-In-Time Adaptive Interventions (JITAIs), which are often based on theoretical contextual information. However, detailed understanding of users' actual needs remains insufficient.
  • Text messages, as a digital mental health intervention method, are widely recognized for their ubiquity and accessibility, but their design has yet to fully integrate user perspectives.

Proposed Solution

• Proposed Approach:

  • Use user interviews and focus group studies to identify key contextual factors influencing young users' interactions with mental health-supportive text messages.
  • Develop two experimental text message dialogue designs targeting "daily schedules" and "emotional states" to test users' message receptivity and usage behavior.

• Innovations:

  • Conduct systematic background research based on real user opinions rather than relying solely on psychological theories.
  • Dynamically adjust message content and functionality based on user feedback, exploring the complex relationship between contextual factors and message receptivity.
  • Systematize the complexity of message design, including content, frequency, and interaction depth.

• Implementation Steps and Key Techniques:

  1. Interviews and Focus Groups: In the preliminary phase, collect feedback from 36 young users on their needs for text messages to identify key contextual factors.
  2. Message Dialogue Design:
     • Daily Schedule Dialogue: Design interactive messages tailored to different times of the day (morning and afternoon).
     • Emotional State Dialogue: Dynamically adjust message content based on users' emotional states (detected using self-assessment tools).
  3. Experiment Deployment: Recruit 42 users to experience the messaging system and collect qualitative and quantitative feedback.
  4. Data Analysis: Use thematic analysis to code user feedback and identify major design tensions.

Research Outcomes

• Specific Findings:

  • Identified two key contextual factors influencing users' interactions with mental health-supportive text messages: daily schedules and emotional states.
  • Proposed dynamic message adaptation strategies for these contextual factors, including adjustments to message frequency, required effort for engagement, and time sensitivity.
  • Expanded the user-centered JITAI design framework.

• Advantages:

  • Compared to purely psychology-driven approaches, the system informed by real user feedback provides more detailed design guidance.
  • Offers a set of context-driven implementation strategies for text message-based mental health interventions, improving user experience and message effectiveness.

• Experimental or Evaluation Results:

  • Users showed significant differences in their preferences for receiving messages in the morning versus the afternoon, but some interventions were found to be effectively distributed during busy times.
  • In emotional state dialogues, users appreciated describing their psychological state through emotion labels to enhance focus, though opinions on questionnaire length varied.

• Limitations and Future Directions:

  • Limitations:

    • Study participants were all young people from North America, which may limit the findings to specific cultural contexts.
    • The experimental message types were relatively limited and did not cover all possible intervention content.
    • The emotional state scale used had limitations in capturing complex psychological experiences.

  • Future Research:

    • Expand to other populations and cultural contexts to explore the generalizability of contextual factors.
    • Test a broader range of message types to enhance the richness of intervention content.
    • Employ more dynamic emotion modeling tools to improve the accuracy of emotion detection and user experience.

In summary, this study lays an important foundation for developing user-centered, context-aware digital mental health tools, providing specific design recommendations and directions for future research.