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Self-tracking for Mental Wellness: Understanding Expert Perspectives and Student Experiences
Christina Kelley1, Bongshin Lee2, Lauren Wilcox1
1School of Interactive Computing, Georgia Institute of Technology.
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. CHI Conference
|September 19, 2017
Summary
Self-tracking tools can aid student mental wellness, but user experiences and challenges are key. Understanding student motivations and preferences is crucial for effective design and implementation of these technologies.
Area of Science:
- Digital Health
- Mental Wellness Technology
- Student Health
Background:
- Self-tracking is recognized for promoting mental wellness.
- College student populations have been studied for mood, activity, and social data collection feasibility.
- Existing research lacks insights into student experiences and challenges with self-tracking for mental wellness.
Purpose of the Study:
- To investigate self-tracking for stress management and mental wellness in student populations.
- To understand student motivations, challenges, and preferences regarding self-tracking data.
- To compare experiences between students with and without diagnosed mental illnesses.
Main Methods:
- Two studies were conducted: focus groups/card sorting with 14 student health professionals and an online survey of 297 students.
- Expert perspectives on tracking usefulness for stress management scenarios were gathered.
- Student personal experiences, attitudes toward data sharing, and data viewing preferences were examined.
Main Results:
- Expert insights on the utility of self-tracking for mental wellness scenarios were identified.
- Student motivations for self-tracking, common challenges encountered, and preferences for data visualization were characterized.
- Differences in self-tracking experiences and data sharing attitudes were observed between students with and without diagnosed mental illnesses.
Conclusions:
- Leveraging self-tracking for student mental wellness presents both challenges and opportunities.
- Design considerations for self-tracking technologies should prioritize student-specific needs and preferences.
- Further research is needed to optimize self-tracking interventions for diverse student populations.
Keywords:
: User-centered designH.5.2. Information interfaces and presentation (e.g., HCI)J.3. Life and medical sciences: HealthQuantified SelfSelf-monitoringhealth communicationmental healthmental wellnesspatient–clinician communicationpersonal informaticsself-trackingMore Related Videos
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