Literature DB >> 24917459

Quantified sex: a critical analysis of sexual and reproductive self-tracking using apps.

Deborah Lupton1.   

Abstract

Digital health technologies are playing an increasingly important role in healthcare, health education and voluntary self-surveillance, self-quantification and self-care practices. This paper presents a critical analysis of one digital health device: computer apps used to self-track features of users' sexual and reproductive activities and functions. After a review of the content of such apps available in the Apple App Store and Google Play™ store, some of their sociocultural, ethical and political implications are discussed. These include the role played by these apps in participatory surveillance, their configuration of sexuality and reproduction, the valorising of the quantification of the body in the context of neoliberalism and self-responsibility, and issues concerning privacy, data security and the use of the data collected by these apps. It is suggested that such apps represent sexuality and reproduction in certain defined and limited ways that work to perpetuate normative stereotypes and assumptions about women and men as sexual and reproductive subjects. Furthermore there are significant ethical and privacy implications emerging from the use of these apps and the data they produce. The paper ends with suggestions concerning the 'queering' of such technologies in response to these issues.

Entities:  

Keywords:  apps; digital devices; healthcare; self-surveillance; self-tracking

Mesh:

Year:  2014        PMID: 24917459     DOI: 10.1080/13691058.2014.920528

Source DB:  PubMed          Journal:  Cult Health Sex        ISSN: 1369-1058


  16 in total

1.  Self-Diagnosis through AI-enabled Chatbot-based Symptom Checkers: User Experiences and Design Considerations.

Authors:  Yue You; Xinning Gui
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

2.  Menstrual Cycle Tracking Applications and the Potential for Epidemiological Research: A Comprehensive Review of the Literature.

Authors:  Joelle S Schantz; Claudia S P Fernandez; Z Jukic Anne Marie
Journal:  Curr Epidemiol Rep       Date:  2021-02-20

Review 3.  Activity Theory as a Theoretical Framework for Health Self-Quantification: A Systematic Review of Empirical Studies.

Authors:  Manal Almalki; Kathleen Gray; Fernando Martin-Sanchez
Journal:  J Med Internet Res       Date:  2016-05-27       Impact factor: 5.428

4.  Relationship Between the Menstrual Cycle and Timing of Ovulation Revealed by New Protocols: Analysis of Data from a Self-Tracking Health App.

Authors:  Satoshi Sohda; Kenta Suzuki; Ichiro Igari
Journal:  J Med Internet Res       Date:  2017-11-27       Impact factor: 5.428

5.  Consumer Adoption of Future MyData-Based Preventive eHealth Services: An Acceptance Model and Survey Study.

Authors:  Timo Koivumäki; Saara Pekkarinen; Minna Lappi; Jere Väisänen; Jouni Juntunen; Minna Pikkarainen
Journal:  J Med Internet Res       Date:  2017-12-22       Impact factor: 5.428

6.  Menstrual Cycle Length and Patterns in a Global Cohort of Women Using a Mobile Phone App: Retrospective Cohort Study.

Authors:  Jessica A Grieger; Robert J Norman
Journal:  J Med Internet Res       Date:  2020-06-24       Impact factor: 5.428

7.  Living the metrics: Self-tracking and situated objectivity.

Authors:  Mika Pantzar; Minna Ruckenstein
Journal:  Digit Health       Date:  2017-06-08

8.  Digital health and the biopolitics of the Quantified Self.

Authors:  Btihaj Ajana
Journal:  Digit Health       Date:  2017-02-01

9.  "A good little tool to get to know yourself a bit better": a qualitative study on users' experiences of app-supported menstrual tracking in Europe.

Authors:  Johanna Levy; Nuria Romo-Avilés
Journal:  BMC Public Health       Date:  2019-09-03       Impact factor: 3.295

10.  Examining Menstrual Tracking to Inform the Design of Personal Informatics Tools.

Authors:  Daniel A Epstein; Nicole B Lee; Jennifer H Kang; Elena Agapie; Jessica Schroeder; Laura R Pina; James Fogarty; Julie A Kientz; Sean A Munson
Journal:  Proc SIGCHI Conf Hum Factor Comput Syst       Date:  2017-05-02
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