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SARA: a mobile app to engage users in health data collection

Authors:

Mashfiqui Rabbi,

Meredith Philyaw-Kotov,

Anthony Mansour,

Rebecca Cunningham,

Inbal Nahum-Shani,

Predrag Klasnja,

Maureen Walton,

Susan MurphyAuthors Info & Claims

UbiComp '17: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers

Pages 781 - 789

https://doi.org/10.1145/3123024.3125611

Published: 11 September 2017 Publication History

Abstract

Despite the recent progress in sensor technologies, many relevant health data can be only captured with manual input (e.g., food intake, stress appraisal, subjective emotion, substance use). A common problem of manual logging is that users often disengage within a short time because of high burden. In this work, we propose SARA, a novel app to engage users with ongoing tracking using timely rewards thereby reinforcing users for data input. SARA is developed for adolescents and emerging adults at risk for substance abuse. The rewards in SARA are designed to be developmentally and culturally appropriate to the target demographic and are theoretically grounded in the behavioral science literature. In this paper, we describe SARA and its rewards to increase data collection. We also briefly discuss future plans to evaluate SARA and develop just in time adaptive interventions for engagement and behavior change.

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Cited By

Gültekin MŞahin M(2024)The use of artificial intelligence in mental health services in Turkey: What do mental health professionals think?Cyberpsychology: Journal of Psychosocial Research on Cyberspace10.5817/CP2024-1-618:1Online publication date: 1-Feb-2024
https://doi.org/10.5817/CP2024-1-6
Tocchetti ATalenti SBrambilla M(2024)"My Lockdown Escape": A Data Collection Approach based on Gamification and Crowdsourcing for Subjective Perspectives, Self-Empathy, and Memories about Past ExperiencesProceedings of the 3rd Empathy-Centric Design Workshop: Scrutinizing Empathy Beyond the Individual10.1145/3661790.3661794(14-20)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3661790.3661794
Steinway CShilly SBelton TSmith-Whitley KJan SSchwartz LCrosby L(2024)Development of the iManage SCD mobile health application for transitionHealth Care Transitions10.1016/j.hctj.2024.1000742(100074)Online publication date: 2024
https://doi.org/10.1016/j.hctj.2024.100074
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Index Terms

SARA: a mobile app to engage users in health data collection
1. Human-centered computing

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Published In

cover image ACM Conferences

UbiComp '17: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers

September 2017

1089 pages

ISBN:9781450351904

DOI:10.1145/3123024

General Chairs:
Seungyon "Claire" Lee
Google
,
Leila Takayama
UC Santa Cruz
,
Khai Truong
University of Toronto

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 11 September 2017

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CDC
University of Michigan Injury Center
NIDA
Michigan Institute for Data Science
NIAAA

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UbiComp '17

Sponsor:

UbiComp '17: The 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 11 - 15, 2017

Hawaii, Maui

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

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Cited By

Gültekin MŞahin M(2024)The use of artificial intelligence in mental health services in Turkey: What do mental health professionals think?Cyberpsychology: Journal of Psychosocial Research on Cyberspace10.5817/CP2024-1-618:1Online publication date: 1-Feb-2024
https://doi.org/10.5817/CP2024-1-6
Tocchetti ATalenti SBrambilla M(2024)"My Lockdown Escape": A Data Collection Approach based on Gamification and Crowdsourcing for Subjective Perspectives, Self-Empathy, and Memories about Past ExperiencesProceedings of the 3rd Empathy-Centric Design Workshop: Scrutinizing Empathy Beyond the Individual10.1145/3661790.3661794(14-20)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3661790.3661794
Steinway CShilly SBelton TSmith-Whitley KJan SSchwartz LCrosby L(2024)Development of the iManage SCD mobile health application for transitionHealth Care Transitions10.1016/j.hctj.2024.1000742(100074)Online publication date: 2024
https://doi.org/10.1016/j.hctj.2024.100074
ÜLKER SAKKAN G(2023)RUH SAĞLIĞI HİZMETLERİNDE YAPAY ZEKA UYGULAMALARI VE İLİŞKİLİ TEKNOLOJİLERARTIFICIAL INTELLIGENCE APPLICATIONS AND RELATED TECHNOLOGIES IN MENTAL HEALTH SERVICES)Fenerbahçe Üniversitesi Sosyal Bilimler Dergisi10.58620/fbujoss.13689223:2(242-263)Online publication date: 30-Dec-2023
https://doi.org/10.58620/fbujoss.1368922
Rapp ABoldi A(2023)Exploring the Lived Experience of Behavior Change Technologies: Towards an Existential Model of Behavior Change for HCIACM Transactions on Computer-Human Interaction10.1145/360349730:6(1-50)Online publication date: 25-Sep-2023
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Lee UJung GMa EKim JKim HAlikhanov JNoh YKim H(2023)Toward Data-Driven Digital Therapeutics Analytics: Literature Review and Research DirectionsIEEE/CAA Journal of Automatica Sinica10.1109/JAS.2023.12301510:1(42-66)Online publication date: Jan-2023
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Potter LYap JDempsey WWetter DNahum-Shani I(2023)Integrating Intensive Longitudinal Data (ILD) to Inform the Development of Dynamic Theories of Behavior Change and Intervention Design: a Case Study of Scientific and Practical ConsiderationsPrevention Science10.1007/s11121-023-01495-424:8(1659-1671)Online publication date: 15-Apr-2023
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Thornton LOsman BChampion KGreen OWescott AGardner LStewart CVisontay RWhife JParmenter BBirrell LBryant ZChapman CLubans DSlade TTorous JTeesson MVan de Ven P(2022)Measurement Properties of Smartphone Approaches to Assess Diet, Alcohol Use, and Tobacco Use: Systematic ReviewJMIR mHealth and uHealth10.2196/2733710:2(e27337)Online publication date: 17-Feb-2022
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GÜLTEKİN M(2022)Could Robots Empatize? A Review on The Employment of Social Robots in Mental HealthcareRobotlar Empati Yapabilir mi? Sosyal Robotların Ruh Sağlığı Hizmetlerinde Kullanımı Üzerine Bir DerlemeTürk Psikolojik Danışma ve Rehberlik Dergisi10.17066/tpdrd.1225040512:67(593-618)Online publication date: 31-Dec-2022
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GÜLTEKİN M(2022)Could Robots Empatize? A Review on The Employment of Social Robots in Mental HealthcareRobotlar Empati Yapabilir mi? Sosyal Robotların Ruh Sağlığı Hizmetlerinde Kullanımı Üzerine Bir DerlemeTürk Psikolojik Danışma ve Rehberlik Dergisi10.17066/tpdrd.122504012:67Online publication date: 31-Dec-2022
https://doi.org/10.17066/tpdrd.1225040
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