Self-tracking, background(s) and hermeneutics. A qualitative approach to quantification and datafication of activity

被引:0
|
作者
Natalia Juchniewicz
Michał Wieczorek
机构
[1] University of Warsaw,
[2] Dublin City University,undefined
来源
Phenomenology and the Cognitive Sciences | 2024年 / 23卷
关键词
(post)phenomenology; self-tracking; background; hermeneutics; datafication; quantification;
D O I
暂无
中图分类号
学科分类号
摘要
In this article, we address the case of self-tracking as a practice in which two meaningful backgrounds (physical world and technological infrastructure) play an important role as the spatial dimension of human practices. Using a (post)phenomenological approach, we show how quantification multiplies backgrounds, while at the same time generating data about the user. As a result, we can no longer speak of a unified background of human activity, but of multiple dimensions of this background, which, additionally, is perceived as having no pivotal role in the process, often being hidden, situated beyond human consciousness, or taken for granted. Consequently, the phenomenological experience of the background turns into a hermeneutic practice focused on the interpretation of representations and descriptions. By adopting a (post)phenomenological approach, we show the problems and limitations of quantification of human activities occurring in self-tracking and the theoretical problems associated with the scheme of human-technology relations.
引用
收藏
页码:133 / 154
页数:21
相关论文
共 50 条
  • [1] Self-tracking, background(s) and hermeneutics. A qualitative approach to quantification and datafication of activity
    Juchniewicz, Natalia
    Wieczorek, Michal
    PHENOMENOLOGY AND THE COGNITIVE SCIENCES, 2024, 23 (01) : 133 - 154
  • [2] Self-Tracking - The Joy of Self-Quantification
    Maid-Kohnert, Udo
    ERNAHRUNGS UMSCHAU, 2013, 60 (03): : M148 - M156
  • [3] Self-Tracking for Fertility Care: A Holistic Approach
    Figueiredo, Mayara Costa
    CHI'20: EXTENDED ABSTRACTS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, 2020,
  • [4] Linguistic and emotional feedback for self-tracking physical activity
    Sanchez-Valdes, Daniel
    Trivino, Gracian
    EXPERT SYSTEMS WITH APPLICATIONS, 2015, 42 (24) : 9574 - 9586
  • [6] Toward a Bayesian Approach for Self-Tracking Personal Pollution Exposures
    Chattopadhyay, Debaleena
    PROCEEDINGS OF THE 2018 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2018 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS (UBICOMP/ISWC'18 ADJUNCT), 2018, : 1166 - 1171
  • [7] Self-Tracking and Management of Physical Activity Fluctuations: An Investigation into Seasons
    Astrom, Fredrika
    Verkade, Jules
    de Kleijn, Thijs
    Karahanoglu, Armagan
    EXTENDED ABSTRACTS OF THE 2021 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'21), 2021,
  • [8] Self-tracking in Parkinson's: The Lived Efforts of Self-management
    Vafeiadou J.
    Vasalou A.
    Roussos G.
    Proceedings of the ACM on Human-Computer Interaction, 2021, 5 (CSCW1)
  • [9] Supporting Coping with Parkinson's Disease Through Self-Tracking
    Mishra, Sonali R.
    Klasnja, Predrag
    Woodburn, John MacDuffie
    Hekler, Eric B.
    Omberg, Larsson
    Kellen, Michael
    Mangravite, Lara
    CHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, 2019,
  • [10] Self-tracking behaviour in physical activity: a systematic review of drivers and outcomes of fitness tracking
    Jin, Daoyan
    Halvari, Hallgeir
    Maehle, Natalia
    Olafsen, Anja H.
    BEHAVIOUR & INFORMATION TECHNOLOGY, 2022, 41 (02) : 242 - 261