poster

WalkMinder: encouraging an active lifestyle using mobile phone interruptions

Authors:

Robert G. Farrell,

Catalina M. Danis,

Wendy A. KelloggAuthors Info & Claims

CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing Systems

Pages 1431 - 1436

https://doi.org/10.1145/2468356.2468611

Published: 27 April 2013 Publication History

Abstract

Medical research suggests that avoiding lengthy periods of physical inactivity can have significant health benefits. The pervasive nature of mobile phones increasingly allows individuals to track and measure their own physical activity thus creating opportunities for them to reflect on their behavior and make informed changes. In this work, we investigated two mechanisms for encouraging a more active lifestyle: a glanceable display of an individual's level of physical activity and mobile phone vibrations to interrupt extended periods of inactivity. We found that both mechanisms can help users become more aware of their activity patterns but may be ignored unless coupled with concrete advice on how to incorporate active moments into their day.

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Cited By

Vaid SHarari G(2022)Smartphones in Personal Informatics: A Framework for Self-Tracking Research with Mobile SensingDigital Phenotyping and Mobile Sensing10.1007/978-3-030-98546-2_6(77-104)Online publication date: 23-Jul-2022
https://doi.org/10.1007/978-3-030-98546-2_6
Aldenaini NAlqahtani FOrji RSampalli S(2020)Trends in Persuasive Technologies for Physical Activity and Sedentary Behavior: A Systematic ReviewFrontiers in Artificial Intelligence10.3389/frai.2020.000073Online publication date: 28-Apr-2020
https://doi.org/10.3389/frai.2020.00007
Paay JKjeldskov JPapachristos EHansen KJørgensen TOvergaard K(2020)Can digital personal assistants persuade people to exercise?Behaviour & Information Technology10.1080/0144929X.2020.181441241:2(416-432)Online publication date: 6-Sep-2020
https://doi.org/10.1080/0144929X.2020.1814412
Show More Cited By

Index Terms

WalkMinder: encouraging an active lifestyle using mobile phone interruptions
1. Human-centered computing

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Published In

cover image ACM Conferences

CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing Systems

April 2013

3360 pages

ISBN:9781450319522

DOI:10.1145/2468356

General Chair:
Wendy E. Mackay
INRIA
,
Program Chairs:
Stephen Brewster
Glasgow University
,
Susanne Bødker
University of Aarhus

Copyright © 2013 Copyright is held by the owner/author(s).

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

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Published: 27 April 2013

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CHI '13

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CHI '13: CHI Conference on Human Factors in Computing Systems

April 27 - May 2, 2013

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CHI EA '13 Paper Acceptance Rate 630 of 1,963 submissions, 32%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Cited By

Vaid SHarari G(2022)Smartphones in Personal Informatics: A Framework for Self-Tracking Research with Mobile SensingDigital Phenotyping and Mobile Sensing10.1007/978-3-030-98546-2_6(77-104)Online publication date: 23-Jul-2022
https://doi.org/10.1007/978-3-030-98546-2_6
Aldenaini NAlqahtani FOrji RSampalli S(2020)Trends in Persuasive Technologies for Physical Activity and Sedentary Behavior: A Systematic ReviewFrontiers in Artificial Intelligence10.3389/frai.2020.000073Online publication date: 28-Apr-2020
https://doi.org/10.3389/frai.2020.00007
Paay JKjeldskov JPapachristos EHansen KJørgensen TOvergaard K(2020)Can digital personal assistants persuade people to exercise?Behaviour & Information Technology10.1080/0144929X.2020.181441241:2(416-432)Online publication date: 6-Sep-2020
https://doi.org/10.1080/0144929X.2020.1814412
Saleemi MAnjum MRehman M(2020)Ubiquitous healthcare: a systematic mapping studyJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-020-02513-x14:5(5021-5046)Online publication date: 26-Sep-2020
https://doi.org/10.1007/s12652-020-02513-x
Zouinar M(2019)Théories et principes de conception des systèmes d’automesure numériquesRéseaux10.3917/res.216.0083n° 216:4(83-117)Online publication date: 18-Jun-2019
https://doi.org/10.3917/res.216.0083
Choi WPark SKim DLim YLee U(2019)Multi-Stage Receptivity Model for Mobile Just-In-Time Health InterventionProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/33289103:2(1-26)Online publication date: 21-Jun-2019
https://dl.acm.org/doi/10.1145/3328910
Wang YReiterer HBrewster SFitzpatrick GCox AKostakos V(2019)The Point-of-Choice Prompt or the Always-On Progress Bar?Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290607.3313050(1-6)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290607.3313050
Caraban AKarapanos EGonçalves DCampos PBrewster SFitzpatrick GCox AKostakos V(2019)23 Ways to NudgeProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300733(1-15)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290605.3300733
Vaid SHarari G(2019)Smartphones in Personal Informatics: A Framework for Self-Tracking Research with Mobile SensingDigital Phenotyping and Mobile Sensing10.1007/978-3-030-31620-4_5(65-92)Online publication date: 1-Nov-2019
https://doi.org/10.1007/978-3-030-31620-4_5
McCallum CRooksby JGray C(2018)Evaluating the Impact of Physical Activity Apps and Wearables: Interdisciplinary ReviewJMIR mHealth and uHealth10.2196/mhealth.90546:3(e58)Online publication date: 23-Mar-2018
https://doi.org/10.2196/mhealth.9054
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