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Personalization revisited: a reflective approach helps people better personalize health services and motivates them to increase physical activity

Authors:

Sara KieslerAuthors Info & Claims

UbiComp '15: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Pages 743 - 754

https://doi.org/10.1145/2750858.2807552

Published: 07 September 2015 Publication History

Abstract

Current approaches to personalization either presuppose people's needs and automatically tailor services or provide formulaic options for people to customize. We propose a complementary approach to personalization: a reflective strategy that helps people realize what matters to them and enables them to better personalize services themselves. To design this strategy, we first studied the practices of eight personal health service providers. We then tested the strategy's efficacy by building a Fitbit Plan website that encouraged Fitbit users to customize a plan or accept an automatically tailored plan. For one group of users, the website used the reflective strategy to assist in the plan setup process. A two-week between-subjects field experiment showed that the reflective strategy helped motivate users to carry out their plans, increasing their average daily steps by 2,425 steps. Without the reflective strategy, users either set easy goals or failed to carry out system-created plans, ultimately showing no change in their average daily steps. This work suggests that helping people reflect on and connect with their own goals in using a personalized service could advance the effectiveness of the service.

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Cited By

Saksono HParker A(2024)Socio-Cognitive Framework for Personal Informatics: A Preliminary Framework for Socially-Enabled Health TechnologiesACM Transactions on Computer-Human Interaction10.1145/367450431:3(1-41)Online publication date: 30-Jun-2024
https://dl.acm.org/doi/10.1145/3674504
Sefidgar YJörke MSuh JSaha KIqbal SRamos GCzerwinski M(2024)Improving Work-Nonwork Balance with Data-Driven Implementation Intention and Mental ContrastingProceedings of the ACM on Human-Computer Interaction10.1145/36373518:CSCW1(1-29)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637351
Oewel BArean PAgapie E(2024)Approaches for tailoring between-session mental health therapy activitiesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642856(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642856
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Index Terms

Personalization revisited: a reflective approach helps people better personalize health services and motivates them to increase physical activity
1. Human-centered computing

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cover image ACM Conferences

UbiComp '15: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 2015

1302 pages

ISBN:9781450335744

DOI:10.1145/2750858

General Chairs:
Kenji Mase
Nagoya University, JP
,
Marc Langheinrich
Università della Svizzera italiana (USI), CH
,
Daniel Gatica-Perez
IDIAP-EPFL, CH
,
Program Chairs:
Hans Gellersen
Lancaster University, UK
,
Tanzeem Choudhury
Cornell University
,
Koji Yatani
Univerisity of Tokyo, JP

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Published: 07 September 2015

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UbiComp '15: The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 7 - 11, 2015

Osaka, Japan

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UbiComp '15 Paper Acceptance Rate 101 of 394 submissions, 26%;

Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

Saksono HParker A(2024)Socio-Cognitive Framework for Personal Informatics: A Preliminary Framework for Socially-Enabled Health TechnologiesACM Transactions on Computer-Human Interaction10.1145/367450431:3(1-41)Online publication date: 30-Jun-2024
https://dl.acm.org/doi/10.1145/3674504
Sefidgar YJörke MSuh JSaha KIqbal SRamos GCzerwinski M(2024)Improving Work-Nonwork Balance with Data-Driven Implementation Intention and Mental ContrastingProceedings of the ACM on Human-Computer Interaction10.1145/36373518:CSCW1(1-29)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637351
Oewel BArean PAgapie E(2024)Approaches for tailoring between-session mental health therapy activitiesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642856(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642856
Xu KYan XRyu MNewman MArriaga R(2024)Understanding the Effect of Reflective Iteration on Individuals’ Physical Activity PlanningProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641937(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3641937
Kennedy JKumar NPaetzel-Prüsmann MGrollman DBroadbent EJu WSoh HWilliams T(2024)Name Pronunciation Extraction and Reuse in Human-Robot ConversationsCompanion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610978.3640689(593-597)Online publication date: 11-Mar-2024
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Rapp ABoldi A(2024)Open Issues in Persuasive Technologies: Six HCI Challenges for the Design of Behavior Change SystemsHuman-Computer Interaction10.1007/978-3-031-60428-7_8(99-116)Online publication date: 1-Jun-2024
https://doi.org/10.1007/978-3-031-60428-7_8
Mishra SDempsey WKlasnja P(2023)A Text Messaging Intervention for Priming the Affective Rewards of Exercise in Adults: Protocol for a Microrandomized TrialJMIR Research Protocols10.2196/4656012(e46560)Online publication date: 1-Sep-2023
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Günther FSchober FHunger SSchellnock JDerlien SSchleifenbaum SDrossel WHeyde C(2023)Improving Home-Based Scoliosis Therapy: Findings From a Web-Based SurveyJMIR Rehabilitation and Assistive Technologies10.2196/4621710(e46217)Online publication date: 4-Aug-2023
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Yfantidou SSermpezis PVakali A(2023)14 Years of Self-Tracking Technology for mHealth—Literature Review: Lessons Learned and the PAST SELF FrameworkACM Transactions on Computing for Healthcare10.1145/35926214:3(1-43)Online publication date: 8-Sep-2023
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Schaffner BStefanescu ACampili OChetty M(2023)Don't Let Netflix Drive the Bus: User's Sense of Agency Over Time and Content Choice on NetflixProceedings of the ACM on Human-Computer Interaction10.1145/35796047:CSCW1(1-32)Online publication date: 16-Apr-2023
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