Helping users set rules for defining short-term activity goals

Jisoo Lee, Emil Chiauzzi, Eric B. Hekler, Auriell Towner, Marcy Fitz-Randolph

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

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 languageEnglish (US)
Title of host publicationCHI EA 2016: #chi4good - Extended Abstracts, 34th Annual CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
Pages2178-2184
Number of pages7
Volume07-12-May-2016
ISBN (Electronic)9781450340823
DOIs
StatePublished - May 7 2016
Event34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016 - San Jose, United States
Duration: May 7 2016May 12 2016

Other

Other34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016
CountryUnited States
CitySan Jose
Period5/7/165/12/16

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

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  • Cite this

    Lee, J., Chiauzzi, E., Hekler, E. B., Towner, A., & Fitz-Randolph, M. (2016). Helping users set rules for defining short-term activity goals. In CHI EA 2016: #chi4good - Extended Abstracts, 34th Annual CHI Conference on Human Factors in Computing Systems (Vol. 07-12-May-2016, pp. 2178-2184). Association for Computing Machinery. https://doi.org/10.1145/2851581.2892488