extended-abstract

Maintaining levels of activity using a haptic personal training application

Authors:

Huimin Qian,

Ravi Kuber,

Andrew SearsAuthors Info & Claims

CHI EA '10: CHI '10 Extended Abstracts on Human Factors in Computing Systems

Pages 3217 - 3222

https://doi.org/10.1145/1753846.1753961

Published: 10 April 2010 Publication History

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Abstract

This paper describes the development of a novel mobile phone-based application designed to monitor the walking habits of older adults. Haptic cues integrated within the prototype, are designed to inform an individual of changes which should be made to maintain a prescribed level of activity. A pilot study was conducted with fifteen older adults walking at varying speeds, both with and without the presence of assistive haptic feedback from the prototype. The results confirm that more steps were taken when haptic feedback was provided while walking at normal and fast paces. However, results also indicate that further refinements would be needed to improve the identification of haptic cues while individuals are in motion.

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Cited By

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Monteiro-Guerra FRivera-Romero OFernandez-Luque LCaulfield B(2020)Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping ReviewIEEE Journal of Biomedical and Health Informatics10.1109/JBHI.2019.294724324:6(1738-1751)Online publication date: Jun-2020
https://doi.org/10.1109/JBHI.2019.2947243
Caldeira CChen Y(2019)Seniors and Self-tracking TechnologyPerspectives on Human-Computer Interaction Research with Older People10.1007/978-3-030-06076-3_5(67-79)Online publication date: 21-Feb-2019
https://doi.org/10.1007/978-3-030-06076-3_5
Baez MIbarra FFar IFerron MCasati F(2016)Online Group-Exercises for Older Adults of Different Physical Abilities2016 International Conference on Collaboration Technologies and Systems (CTS)10.1109/CTS.2016.0098(524-533)Online publication date: Oct-2016
https://doi.org/10.1109/CTS.2016.0098
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Index Terms

Maintaining levels of activity using a haptic personal training application
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Haptic devices

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Published In

CHI EA '10: CHI '10 Extended Abstracts on Human Factors in Computing Systems

April 2010

2219 pages

ISBN:9781605589305

DOI:10.1145/1753846

General Chairs:
Elizabeth Mynatt
Georgia Institute of Technology
,
Don Schoner
Georgia Institute of Technology
,
Program Chairs:
Geraldine Fitzpatrick
Vienna University of Technology
,
Scott Hudson
Carnegie Mellon University
,
Keith Edwards
Georgia Tech
,
Tom Rodden
University of Nottingham

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Association for Computing Machinery

New York, NY, United States

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Published: 10 April 2010

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CHI '10: CHI Conference on Human Factors in Computing Systems

April 10 - 15, 2010

Georgia, Atlanta, USA

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CHI EA '10 Paper Acceptance Rate 350 of 1,346 submissions, 26%;

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

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Monteiro-Guerra FRivera-Romero OFernandez-Luque LCaulfield B(2020)Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping ReviewIEEE Journal of Biomedical and Health Informatics10.1109/JBHI.2019.294724324:6(1738-1751)Online publication date: Jun-2020
https://doi.org/10.1109/JBHI.2019.2947243
Caldeira CChen Y(2019)Seniors and Self-tracking TechnologyPerspectives on Human-Computer Interaction Research with Older People10.1007/978-3-030-06076-3_5(67-79)Online publication date: 21-Feb-2019
https://doi.org/10.1007/978-3-030-06076-3_5
Baez MIbarra FFar IFerron MCasati F(2016)Online Group-Exercises for Older Adults of Different Physical Abilities2016 International Conference on Collaboration Technologies and Systems (CTS)10.1109/CTS.2016.0098(524-533)Online publication date: Oct-2016
https://doi.org/10.1109/CTS.2016.0098
op den Akker HCabrita Mop den Akker RJones VHermens H(2015)Tailored motivational message generationJournal of Biomedical Informatics10.1016/j.jbi.2015.03.00555:C(104-115)Online publication date: 1-Jun-2015
https://dl.acm.org/doi/10.1016/j.jbi.2015.03.005
Akker HJones VHermens H(2014)Tailoring real-time physical activity coaching systemsUser Modeling and User-Adapted Interaction10.1007/s11257-014-9146-y24:5(351-392)Online publication date: 1-Dec-2014
https://dl.acm.org/doi/10.1007/s11257-014-9146-y
Qian H(2012)Improving access to mobile technologies using tactile feedbackACM SIGACCESS Accessibility and Computing10.1145/2140446.2140454(36-40)Online publication date: 1-Jan-2012
https://dl.acm.org/doi/10.1145/2140446.2140454
Qian HKuber RSears A(2011)A longitudinal pilot study to evaluate non-visual icons in a mobile exertion applicationProceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part IV10.5555/2042283.2042351(458-461)Online publication date: 5-Sep-2011
https://dl.acm.org/doi/10.5555/2042283.2042351
Qian HKuber RSears AMurphy E(2011)Maintaining and modifying pace through tactile and multimodal feedbackInteracting with Computers10.1016/j.intcom.2011.02.00723:3(214-225)Online publication date: 1-May-2011
https://dl.acm.org/doi/10.1016/j.intcom.2011.02.007

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App Usage Predicts Cognitive Ability in Older Adults

Activity Recognition in Older Adults with Training Data from Younger Adults: Preliminary Results on in Vivo Smartwatch Sensor Data

Redefining Activity Tracking Through Older Adults' Reflections on Meaningful Activities

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