Exploring users' creation of personalized behavioral plans

Jisoo Lee, Erin Walker, Winslow Burleson, Eric B. Hekler

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

Abstract

As an initial effort in developing tools that support users' creation of their own behavior-change plans, we conducted a formative user study. We intended to explore people's creation of plans for their own behavioral goals, with minimal support to facilitate their goal-setting, implementation of behavior-change techniques, and self-monitoring. In this paper, we present lessons that we obtained from this initial study, and insights on shifts in our design tools for a follow-up formative study currently underway.

Original languageEnglish (US)
Title of host publicationUbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing
PublisherAssociation for Computing Machinery, Inc
Pages703-706
Number of pages4
ISBN (Electronic)9781450330473
DOIs
StatePublished - Jan 1 2014
Event2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014 - Seattle, United States
Duration: Sep 13 2014Sep 17 2014

Publication series

NameUbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Other

Other2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014
CountryUnited States
CitySeattle
Period9/13/149/17/14

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Keywords

  • Behavior change
  • Goal-setting
  • Personalized behavioral plan
  • Self-tracking

ASJC Scopus subject areas

  • Software

Cite this

Lee, J., Walker, E., Burleson, W., & Hekler, E. B. (2014). Exploring users' creation of personalized behavioral plans. In UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 703-706). (UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing). Association for Computing Machinery, Inc. https://doi.org/10.1145/2638728.2641318