The quantified-self archive: documenting lives through self-tracking data

被引:10
|
作者
Trace, Ciaran B. [1 ]
Zhang, Yan [1 ]
机构
[1] Univ Texas Austin, Sch Informat, Austin, TX 78712 USA
关键词
Documents; Documentation; Information behaviour; Digital archive; Small data; Data studies; Personal informatics; Quantified-self; Self-tracking; INFORMATION;
D O I
10.1108/JD-04-2019-0064
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Purpose The purpose of this article is to examine the ways in which self-tracking data have meaning and value in and after the life of the creator, including how such data could become part of the larger historical record, curated in an institutional archive. In doing so, the article expands upon existing shared interests among researchers working in the areas of self-tracking, human-computer interaction and archival science. Design/methodology/approach A total of 18 people who had self-tracked for six months or more were recruited for the study. Participants completed a survey which gathered demographic data and characteristics vis-a-vis their self-tracking behavior. In-person semi-structured interviews were then conducted to ascertain the beliefs of the participants regarding the long-term use and value of personal quantified-self data. Findings The findings reveal the value that people place on self-tracking data, their thoughts on proper modes for accessing their archive once it moves from the private to the public space, and how to provide fidelity within the system such that their experiences are represented while also enabling meaning making on the part of subsequent users of the archive. Originality/value Today's quantified-self data are generally embedded in systems that create a pipeline from the individual source to that of the corporate warehouse, bent on absorbing and extracting insight from a totality of big data. This article posits that new opportunities for knowing and for design can be revealed when a public interest rationale is appended to rich personalized collections of small data.
引用
收藏
页码:290 / 316
页数:27
相关论文
共 50 条
  • [1] Configuring Personal Data for a Quantified-Self Archive
    Trace, Ciaran B.
    Zhang, Yan
    [J]. CHI EA '19 EXTENDED ABSTRACTS: EXTENDED ABSTRACTS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, 2019,
  • [2] The quantified self: A sociology of self-tracking
    Fargo, Hailley
    Franklin, Kristina
    Loomis, Peyton
    Long-Yarrison, Brooke
    Newvine, Kristin
    Rowland, Nicholas J.
    [J]. INFORMATION SOCIETY, 2020, 36 (02): : 124 - 129
  • [3] The Quantified Self: A Sociology of Self-Tracking
    Mert, Ceren
    [J]. CULTURAL SOCIOLOGY, 2017, 11 (03) : 377 - 378
  • [4] The Quantified Self: A Sociology of Self-tracking
    Lomborg, Stine
    [J]. JOURNAL OF CULTURAL ECONOMY, 2017, 10 (03) : 317 - 321
  • [5] The Quantified Self: A Sociology of Self-Tracking
    Petrakaki, Dimitra
    [J]. SOCIOLOGY OF HEALTH & ILLNESS, 2017, 39 (08) : 1574 - 1575
  • [6] The Quantified Self. A sociology of Self-tracking
    Zampino, Letizia
    [J]. TECNOSCIENZA-ITALIAN JOURNAL OF SCIENCE & TECHNOLOGY STUDIES, 2018, 9 (01): : 139 - 142
  • [7] Towards a Quantified-Self web application for seniors' self -tracking
    Billis, Antonis S.
    Batziakas, Asterios
    Bamidis, Panagiot S. D.
    [J]. PROCEEDINGS OF 2015 INTERNATIONAL CONFERENCE ON INTERACTIVE MOBILE COMMUNICATION TECHNOLOGIES AND LEARNING (IMCL), 2015, : 315 - 317
  • [8] Quantified Play: Self-Tracking in Videogames
    Egliston, Ben
    [J]. GAMES AND CULTURE, 2020, 15 (06) : 707 - 729
  • [9] mHealth through quantified-self: a user study
    Khorakhun, Chonlatee
    Bhatti, Saleem N.
    [J]. 2015 17TH INTERNATIONAL CONFERENCE ON E-HEALTH NETWORKING, APPLICATION & SERVICES (HEALTHCOM), 2015, : 329 - 335
  • [10] Self-Tracking: Measurement Practices in the Context of Quantified Self and Diabetes
    Groth, Stefan
    [J]. ZEITSCHRIFT FUR VOLKSKUNDE, 2020, 116 (02): : 323 - 325