abstract

New frontiers of quantified self: finding new ways for engaging users in collecting and using personal data

Authors:

Jakob Eg LarsenAuthors Info & Claims

UbiComp/ISWC'15 Adjunct: Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers

Pages 969 - 972

https://doi.org/10.1145/2800835.2807947

Published: 07 September 2015 Publication History

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Abstract

In spite of the fast growth in the market of devices and applications that allow people to collect personal information, Quantified Self (QS) tools still present a variety of issues when they are used in everyday lives of common people. In this workshop we aim at exploring new ways for designing QS systems, by gathering different researchers in a unique place for imagining how the tracking, management, interpretation and visualization of personal data could be addressed in the future.

References

[1]

Peter Brusilovsky, Alfred Kobsa, and Wolfgang Nejdl. 2007. The Adaptive Web, Methods and Strategies of Web Personalization. Lecture Notes in Computer Science, 4321, Springer.

Digital Library

Google Scholar

[2]

Erin Griffiths, T. Scott Saponas, and A. J. Bernheim Brush. 2014. Health chair: implicitly sensing heart and respiratory rate. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '14), 661--671. http://doi.acm.org/10.1145/2632048.2632099

Digital Library

Google Scholar

[3]

William J. Korotitisch and W. J. and Rosemery Nelson-Gray. 1999. An overview of self-monitoring research in assessment and treatment. Psychological Assessment, 11, 415--425.

Crossref

Google Scholar

[4]

Ian Li, Anind Dey, and Jodi Forlizzi. 2010. A stage-based model of personal informatics systems. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '10), 557--566. http://doi.acm.org/10.1145/1753326.1753409

Digital Library

Google Scholar

[5]

Ian Li, Anind K. Dey, and Jodi Forlizzi. 2011. Understanding my data, myself: supporting self-reflection with ubicomp technologies. In Proceedings of the 13th international conference on Ubiquitous computing (UbiComp '11), 405--414. http://doi.acm.org/10.1145/2030112.2030166

Digital Library

Google Scholar

[6]

Hong Lu, Denise Frauendorfer, Mashfiqui Rabbi, Marianne Schmid Mast, Gokul T. Chittaranjan, Andrew T. Campbell, Daniel Gatica-Perez, and Tanzeem Choudhury. 2012. StressSense: detecting stress in unconstrained acoustic environments using smartphones. In Proceedings of the 2012 ACM Conference on Ubiquitous Computing (UbiComp '12), 351--360. http://doi.acm.org/10.1145/2370216.2370270

Digital Library

Google Scholar

[7]

Alessandro Marcengo and Amon Rapp. 2014. Visualization of Human Behavior Data: The Quantified Self. In Innovative Approaches of Data Visualization and Visual Analytics, Mao Li Huang. and Weidong Huang (Eds.). IGI Global, Hershey, PA, 236--265.

Crossref

Google Scholar

[8]

Raymond G. Miltenberger. 2008. Behavior modification: Principles and procedures (4th ed.) Wadsworth, Belmont, MA.

Google Scholar

[9]

Mahsan Rofouei, Mike Sinclair, Ray Bittner, Tom Blank, Nick Saw, Gerald DeJean, and Jeff Heffron. 2011. A Non-invasive Wearable Neck-Cuff System for Real-Time Sleep Monitoring. In Proceedings of the 2011 International Conference on Body Sensor Networks (BSN '11), 156--161. http://dx.doi.org/10.1109/BSN.2011.38.

Digital Library

Google Scholar

[10]

John Rooksby, Mattias Rost, Alistair Morrison, and Matthew Chalmers Chalmers. 2014. Personal tracking as lived informatics. In Proceedings of the 32nd annual ACM conference on Human factors in computing systems (CHI '14), 1163--1172. http://doi.acm.org/10.1145/2556288.2557039.

Digital Library

Google Scholar

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Rapp A(2021)Wearable technologies as extensions: a postphenomenological framework and its design implicationsHuman–Computer Interaction10.1080/07370024.2021.192703938:2(79-117)Online publication date: 15-Jul-2021
https://doi.org/10.1080/07370024.2021.1927039
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Index Terms

New frontiers of quantified self: finding new ways for engaging users in collecting and using personal data
1. Human-centered computing

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Information & Contributors

Information

Published In

September 2015

1626 pages

ISBN:9781450335751

DOI:10.1145/2800835

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

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.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 September 2015

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Abstract

Conference

UbiComp '15

Sponsor:

Yahoo! Japan
SIGMOBILE
FX Palo Alto Laboratory, Inc.
ACM
Rakuten Institute of Technology
Microsoft
Bell Labs
SIGCHI
Panasonic
Telefónica
ISTC-PC

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

September 7 - 11, 2015

Osaka, Japan

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

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Cited By

View all

de Castro BLevens SSullivan MShaw G(2024)Recommender systems use in weight management mHealth interventions: A scoping reviewObesity Reviews10.1111/obr.13863Online publication date: 13-Nov-2024
https://doi.org/10.1111/obr.13863
de Kloe C(2022)‘Pleasure with a purpose’: datafication and a phallocentric logic to sexual pleasure in the Lioness vibratorPorn Studies10.1080/23268743.2022.210525710:2(210-230)Online publication date: 3-Oct-2022
https://doi.org/10.1080/23268743.2022.2105257
Rapp A(2021)Wearable technologies as extensions: a postphenomenological framework and its design implicationsHuman–Computer Interaction10.1080/07370024.2021.192703938:2(79-117)Online publication date: 15-Jul-2021
https://doi.org/10.1080/07370024.2021.1927039
Calvard T(2019)Integrating Social Scientific Perspectives on the Quantified Employee SelfSocial Sciences10.3390/socsci80902628:9(262)Online publication date: 15-Sep-2019
https://doi.org/10.3390/socsci8090262
Cena FRapp ALikavec SMarcengo A(2018)Envisioning the Future of Personalization Through Personal InformaticsInternational Journal of Mobile Human Computer Interaction10.4018/IJMHCI.201801010410:1(52-66)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.4018/IJMHCI.2018010104
Sarzotti F(2018)Self-Monitoring of Emotions and Mood Using a Tangible ApproachComputers10.3390/computers70100077:1(7)Online publication date: 8-Jan-2018
https://doi.org/10.3390/computers7010007
Angelini LCaon MCasas JCena FRapp AKhaled OMugellini E(2018)Ubiquitous ChatbotsProceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers10.1145/3267305.3274146(1652-1655)Online publication date: 8-Oct-2018
https://dl.acm.org/doi/10.1145/3267305.3274146
Rapp AMarcengo ABuriano LRuffo GLai MCena F(2018)Designing a personal informatics system for users without experience in self-tracking: a case studyBehaviour & Information Technology10.1080/0144929X.2018.143659237:4(335-366)Online publication date: 15-Feb-2018
https://doi.org/10.1080/0144929X.2018.1436592
Larsen JChristiansen TEskelund KOliver NCzerwinski M(2017)Fostering bilateral patient-clinician engagement in active self-tracking of subjective experienceProceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare10.1145/3154862.3154918(427-430)Online publication date: 23-May-2017
https://dl.acm.org/doi/10.1145/3154862.3154918
Martindale SBedwell BPhillips RPedros MMival OSmyth MDalsgaard P(2017)"Proof in the Pudding"Proceedings of the 2017 Conference on Designing Interactive Systems10.1145/3064663.3064743(529-540)Online publication date: 10-Jun-2017
https://dl.acm.org/doi/10.1145/3064663.3064743
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Narrating the quantified self

New frontiers of quantified self 3: exploring understudied categories of users

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