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Shakra: tracking and sharing daily activity levels with unaugmented mobile phones

Authors:

Julie Maitland,

Scott Sherwood,

Louise Barkhuus,

Matthew Chalmers,

Henk MullerAuthors Info & Claims

Mobile Networks and Applications, Volume 12, Issue 2-3

Pages 185 - 199

https://doi.org/10.1007/s11036-007-0011-7

Published: 01 March 2007 Publication History

Abstract

This paper explores the potential for use of an unaugmented commodity technology--the mobile phone-- as a health promotion tool. We describe a prototype application that tracks the daily exercise activities of people, using an Artificial Neural Network (ANN) to analyse GSM cell signal strength and visibility to estimate a user's movement. In a short-term study of the prototype that shared activity information amongst groups of friends, we found that awareness encouraged reflection on, and increased motivation for, daily activity. The study raised concerns regarding the reliability of ANN-facilitated activity detection in the 'real world'. We describe some of the details of the pilot study and introduce a promising new approach to activity detection that has been developed in response to some of the issues raised by the pilot study, involving Hidden Markov Models (HMM), task modelling and unsupervised calibration. We conclude with our intended plans to develop the system further in order to carry out a longer-term clinical trial.

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Cited By

LeFevre CChung C(2024)New Understandings of Loss: Examining the Role of Reflective Technology Within Bereavement and Meaning-MakingProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641968(1-15)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3641968
Mamykina LM. Smaldone AR. Bakken SElhadad NG. Mitchell EM. Desai PE. Levine MN. Tobin JCassells AG. Davidson PJ. Albers DHripcsak G(2021)Scaling Up HCI Research: from Clinical Trials to Deployment in the Wild.Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411763.3443437(1-6)Online publication date: 8-May-2021
https://dl.acm.org/doi/10.1145/3411763.3443437
Khot RHjorth LMueller F(2020)ShelfieACM Transactions on Computer-Human Interaction10.1145/337953927:3(1-52)Online publication date: 31-May-2020
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Shakra: tracking and sharing daily activity levels with unaugmented mobile phones

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cover image Mobile Networks and Applications

Mobile Networks and Applications Volume 12, Issue 2-3

March 2007

114 pages

ISSN:1383-469X

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 March 2007

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LeFevre CChung C(2024)New Understandings of Loss: Examining the Role of Reflective Technology Within Bereavement and Meaning-MakingProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641968(1-15)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3641968
Mamykina LM. Smaldone AR. Bakken SElhadad NG. Mitchell EM. Desai PE. Levine MN. Tobin JCassells AG. Davidson PJ. Albers DHripcsak G(2021)Scaling Up HCI Research: from Clinical Trials to Deployment in the Wild.Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411763.3443437(1-6)Online publication date: 8-May-2021
https://dl.acm.org/doi/10.1145/3411763.3443437
Khot RHjorth LMueller F(2020)ShelfieACM Transactions on Computer-Human Interaction10.1145/337953927:3(1-52)Online publication date: 31-May-2020
https://dl.acm.org/doi/10.1145/3379539
Brombacher HArts DMegens CVos SBrewster SFitzpatrick GCox AKostakos V(2019)StimulightExtended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290607.3313094(1-6)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290607.3313094
Vyas DHalloluwa THeinzler NZhang J(2019)More than step count: designing a workplace-based activity tracking systemPersonal and Ubiquitous Computing10.1007/s00779-019-01305-124:5(627-641)Online publication date: 13-Sep-2019
https://dl.acm.org/doi/10.1007/s00779-019-01305-1
Daskalova NLee BHuang JNi CLundin J(2018)Investigating the Effectiveness of Cohort-Based Sleep RecommendationsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/32649112:3(1-19)Online publication date: 18-Sep-2018
https://dl.acm.org/doi/10.1145/3264911
Caro KFeng YDay TFreed EFox BZhu JMinsky NOsmani V(2018)Understanding the Effect of Existing Positive Relationships on a Social Motion-based Game for HealthProceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare10.1145/3240925.3240942(77-87)Online publication date: 21-May-2018
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Esakia AMcCrickard DHarden SHorning MMinsky NOsmani V(2018)FitAwareProceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare10.1145/3240925.3240926(98-107)Online publication date: 21-May-2018
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Esakia AMcCrickard DHarden SHorning MForte APrilla MVivacqua AM�ller CRobert L(2018)FitAwareProceedings of the 2018 ACM International Conference on Supporting Group Work10.1145/3148330.3148343(178-183)Online publication date: 7-Jan-2018
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Dharia SEirinaki MJain VPatel JVarlamis IVora JYamauchi R(2018)Social recommendations for personalized fitness assistancePersonal and Ubiquitous Computing10.1007/s00779-017-1039-822:2(245-257)Online publication date: 1-Apr-2018
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