skip to main content
10.1145/2493432.2493433acmconferencesArticle/Chapter ViewAbstractPublication PagesubicompConference Proceedingsconference-collections
research-article

Fine-grained sharing of sensed physical activity: a value sensitive approach

Published: 08 September 2013 Publication History

Abstract

Personal informatics applications in a variety of domains are increasingly enabled by low cost personal sensing. Although applications capture fine-grained activity for self reflection, sharing is generally limited to high level summaries. There are potential advantages to fine-grained sharing, but also potential harms. To help investigate this complex design space, we employ Value Sensitive Design to consider whether and how to share fine grained step activity. We identify key values and value tensions, and we develop scenarios to highlight these. We then design a set of data transformations that seek to maximize the benefits while minimizing the harms of detailed sharing. These include a novel approach to interactive modification of fine grained step data, allowing people to remove private data and using motif discovery to generate realistic replacement data. Finally, we conduct semi structured interviews with 12 participants examining these scenarios and transformations. We distill results into a set of design considerations for fine-grained physical activity sharing.

Supplementary Material

suppl.mov (ubi1108.m4v)
Supplemental video

References

[1]
Bales, E., Li, K.A., and Griswold, W. CoupleVIBE: Mobile Implicit Communication to Improve Awareness for (Long-Distance) Couples. CSCW 2011, 65--74.
[2]
Barkhuus, L. and Dey, A. Location-Based Services for Mobile Telephony: A Study of Users' Privacy Concerns. Interact 2003, 207--212.
[3]
Berlin, E. and Van Laerhoven, K. Detecting Leisure Activities with Dense Motif Discovery. UbiComp 2012, 250--259.
[4]
Camp, J. and Connelly, K. Beyond Consent: Privacy in Ubiquitous Computing (Ubicomp). In Digital Privacy: Theory, Technologies, and Practices. Auerbach Publications, New York and London, 2008, 327--343.
[5]
Choe, E.K., Consolvo, S., Watson, N.F., and Kientz, J.A. Opportunities for Computing Technologies to Support Healthy Sleep Behaviors. CHI 2011, 3053--3062.
[6]
Consolvo, S., Everitt, K., Smith, I., and Landay, J.A. Design Requirements for Technologies that Encourage Physical Activity. CHI 2006, 457--466.
[7]
Consolvo, S., Smith, I.E., Matthews, T., LaMarca, A., and Tabert, J. Location Disclosure to Social Relations: Why, When, & What People Want to Share. CHI 2005, 81--90.
[8]
Cornwell, J., Fette, I., Hsieh, G., Prabaker, M., Rao, J., Tang, K., Vaniea, K., Bauer, L., Cranor, L., Hong, J., McLaren, B., Reiter, M., and Sadeh, N. User-Controllable Security and Privacy for Pervasive Computing. HotMobile 2007, 14--19.
[9]
Czeskis, A., Dermendjieva, I., Yapit, H., Borning, A., Friedman, B., Gill, B., and Kohno, T. Parenting from the Pocket : Value Tensions and Technical Directions for Secure and Private Parent-Teen Mobile Safety. SOUPS 2010.
[10]
FitBit. http://www.fitbit.com/.
[11]
Friedman, B., Kahn, P.H., and Borning, A. Value Sensitive Design and Information Systems. Human-Computer Interaction and Management Information Systems: Foundations, (2006), 348--372.
[12]
Friedman, B., Smith, I., Kahn, P.H., Consolvo, S., and Selawski, J. Development of a Privacy Addendum for Open Source Licenses: Value Sensitive Design in Industry. UbiComp 2006, 194--21
[13]
Froehlich, J., Dillahunt, T., and Klasnja, P. UbiGreen: Investigating a Mobile Tool for Tracking and Supporting Green Transportation Habits. CHI 2009, 1043--1052.
[14]
Froehlich, J., Larson, E., Campbell, T., Haggerty, C., Fogarty, J., and Patel, S.N. HydroSense: Infrastructure-Mediated Single-Point Sensing of Whole-Home Water Activity. UbiComp 2009, 235--244.
[15]
Gupta, S., Reynolds, M., and Patel, S. ElectriSense: Single-Point Sensing Using EMI for Electrical Event Detection and Classification in the Home. UbiComp 2010, 139--148.
[16]
Hays, J. and Efros, A.A. Scene Completion Using Millions of Photographs. SIGGRAPH 2007.
[17]
Hwang, K.O., Ottenbacher, A.J., Green, A.P., Cannon-Diehl, M.R., Richardson, O., Bernstam, E. V, and Thomas, E.J. Social Support in an Internet Weight Loss Community. International Journal of Medical Informatics 79, 1 (2010), 5--13.
[18]
Iachello, G., Smith, I., Consolvo, S., Abowd, G.D., Howard, J., Potter, F., Scott, J., Sohn, T., Hightower, J., and LaMarca, A. Control, Deception, and Communication: Evaluating the Deployment of a Location-Enhanced Messaging Service. UbiComp 2005, 213--231.
[19]
Jawbone UP. http://jawbone.com/up.
[20]
Kay, M., Choe, E., Shepherd, J., Greenstein, B., Watson, N., Consolvo, S., and Kientz, J.A. Lullaby: A Capture & Access System for Understanding the Sleep Environment. UbiComp 2012, 226--234.
[21]
Klasnja, P., Consolvo, S., Choudhury, T., and Beckwith, R. Exploring Privacy Concerns about Personal Sensing. Pervasive 2009, 176--183.
[22]
Klasnja, P., Consolvo, S., McDonald, D.W., Landay, J.A., and Pratt, W. Using Mobile & Personal Sensing Technologies to Support Health Behavior Change in Everyday Life: Lessons Learned. AMIA 2009, 338--342.
[23]
Kostakos, V., Venkatanathan, J., and Reynold, B. Who's Your Best Friend? Targeted Privacy Attacks In Location-Sharing Social Networks. UbiComp 2011, 177--186.
[24]
Krumm, J. Inference Attacks on Location Tracks. Pervasive 2007, 127--143.
[25]
Li, I., Dey, A., and Forlizzi, J. A Stage-Based Model of Personal Informatics Systems. CHI 2010, 557--566.
[26]
Lin, J., Keogh, E., Lonardi, S., and Patel, P. Finding Motifs in Time Series. SIGKDD 2002, 53--68.
[27]
Lin, J.J., Mamykina, L., Lindtner, S., Delajoux, G., and Strub, H.B. Fish' n' Steps: Encouraging Physical Activity with an Interactive Computer Game. UbiComp 2006, 261--278.
[28]
Mankoff, J., Fussell, S.R., Dillahunt, T., Glaves, R., Grevet, C., Johnson, M., Matthews, D., Matthews, H.S., Mcguire, R., Thompson, R., Shick, A., and Setlock, L. StepGreen.org: Increasing Energy Saving Behaviors via Social Networks. ICWSM 2010, 106--113.
[29]
Minnen, D. and Starner, T. Discovering Characteristic Actions from On-Body Sensor Data. ISWC 2006, 11--18.
[30]
Munson, S.A. and Consolvo, S. Exploring Goal-Setting, Rewards, Self-Monitoring, and Sharing to Motivate Physical Activity. PervasiveHealth 2012, 25--32.
[31]
MyFitnessPal. http://www.myfitnesspal.com/.
[32]
Mynatt, E.D., Rowan, J., Jacobs, A., and Craighill, S. Digital Family Portraits : Supporting Peace of Mind for Extended Family Members. CHI 2001, 333--340.
[33]
Page, X., Knijnenburg, B., and Kobsa, A. What a Tangled Web We Weave: Lying Backfires in Location-Sharing Social Media. CSCW 2013, 273--284.
[34]
Skeels, M.M., Unruh, K.T., Powell, C., and Pratt, W. Catalyzing Social Support for Breast Cancer Patients. CHI 2010, 173--182.
[35]
Sweeney, L. K-Anonymity: A Model for Protecting Privacy. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 10, 05 (2002), 557--570.
[36]
Tang, K.P., Lin, J., Hong, J.I., Siewiorek, D.P., and Sadeh, N. Rethinking Location Sharing: Exploring the Implications of Social-Driven vs. Purpose-Driven Location Sharing. UbiComp 2010, 85--94.
[37]
Toscos, T., Faber, A., Connelly, K., and Upoma, A.M. Encouraging Physical Activity in Teens: Can Technology Help Reduce Barriers to Physical Activity in Adolescent Girls? PervasiveHealth 2008, 218--221.

Cited By

View all
  • (2024)Exploring Activity-Sharing Response Differences Between Broad-Purpose and Dedicated Online Social PlatformsProceedings of the ACM on Human-Computer Interaction10.1145/36868988:CSCW2(1-37)Online publication date: 8-Nov-2024
  • (2024)Say You, Say Me: Investigating the Personal insights Generated from One's Own data and Other's dataProceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685345(1-14)Online publication date: 13-Oct-2024
  • (2024)Wearable Activity Trackers: A Survey on Utility, Privacy, and SecurityACM Computing Surveys10.1145/364509156:7(1-40)Online publication date: 8-Feb-2024
  • Show More Cited By

Index Terms

  1. Fine-grained sharing of sensed physical activity: a value sensitive approach

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    UbiComp '13: Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
    September 2013
    846 pages
    ISBN:9781450317702
    DOI:10.1145/2493432
    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]

    Sponsors

    In-Cooperation

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 08 September 2013

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. personal informatics
    2. physical activity sensing
    3. social sharing
    4. value sensitive design

    Qualifiers

    • Research-article

    Conference

    UbiComp '13
    Sponsor:

    Acceptance Rates

    UbiComp '13 Paper Acceptance Rate 92 of 394 submissions, 23%;
    Overall Acceptance Rate 764 of 2,912 submissions, 26%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)56
    • Downloads (Last 6 weeks)5
    Reflects downloads up to 17 Feb 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)Exploring Activity-Sharing Response Differences Between Broad-Purpose and Dedicated Online Social PlatformsProceedings of the ACM on Human-Computer Interaction10.1145/36868988:CSCW2(1-37)Online publication date: 8-Nov-2024
    • (2024)Say You, Say Me: Investigating the Personal insights Generated from One's Own data and Other's dataProceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685345(1-14)Online publication date: 13-Oct-2024
    • (2024)Wearable Activity Trackers: A Survey on Utility, Privacy, and SecurityACM Computing Surveys10.1145/364509156:7(1-40)Online publication date: 8-Feb-2024
    • (2024)Using Speculative Design to Understand Preferred Futures for the Design and Use of Tracking Data in U.S. College Sport TeamsProceedings of the ACM on Human-Computer Interaction10.1145/36410288:CSCW1(1-35)Online publication date: 26-Apr-2024
    • (2024)Unpacking the Lived Experience of Collaborative Pregnancy TrackingProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642652(1-17)Online publication date: 11-May-2024
    • (2024)Supportive Fintech for Individuals with Bipolar Disorder: Financial Data Sharing Preferences for Longitudinal Care ManagementProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642645(1-15)Online publication date: 11-May-2024
    • (2023)Understanding Personal Data Tracking and Sensemaking Practices for Self-Directed Learning in Non-classroom and Non-computer-based ContextsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581364(1-16)Online publication date: 19-Apr-2023
    • (2023)IntimaSea: Exploring Shared Stress Display in Close RelationshipsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581000(1-19)Online publication date: 19-Apr-2023
    • (2023)The participatory value-sensitive design (VSD) of a mHealth app targeting citizens with dementia in a Danish municipalityAI and Ethics10.1007/s43681-023-00274-94:2(375-401)Online publication date: 13-Apr-2023
    • (2022)Data Checkers: A Grid-Based UI for Managing Patient-Generated Data Sharing to Support Collaborative Self-CareFrontiers in Computer Science10.3389/fcomp.2021.6397483Online publication date: 11-Jan-2022
    • Show More Cited By

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media