Abstract
Goal-setting is a valuable behavior change strategy. For patients with multiple sclerosis, a variety of factors such as symptoms (e.g., pain, fatigue), environmental factors (e.g., weather), and mood can all greatly influence a person's ability to meet daily goals. Based on this, these patients and others with chronic pain, would likely benefit from strategies that could aid them in developing their own personalized physical activity goals that can take into account these factors dynamically. The purpose of this formative study was to explore this problem space via interviews and early formative prototyping of possible protocols to aid people in developing their own personalized and adaptive goals. Results from this work suggest interest in tools to support rules to help individuals define their "sweet spot" target for physical activity and further work appears warranted with longer studies.
Original language | English (US) |
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Title of host publication | CHI EA 2016: #chi4good - Extended Abstracts, 34th Annual CHI Conference on Human Factors in Computing Systems |
Publisher | Association for Computing Machinery |
Pages | 2178-2184 |
Number of pages | 7 |
Volume | 07-12-May-2016 |
ISBN (Electronic) | 9781450340823 |
DOIs | |
State | Published - May 7 2016 |
Event | 34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016 - San Jose, United States Duration: May 7 2016 → May 12 2016 |
Other
Other | 34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016 |
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Country/Territory | United States |
City | San Jose |
Period | 5/7/16 → 5/12/16 |
Keywords
- Goal-setting
- Multiple sclerosis
- Physical activity
- Self-experimentation
- Self-tracking
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design
- Software