Tracking to Success? A Critical Reflection on Workplace Quantified-Self Technologies from a Humanistic Perspective

Cornelia Gerdenitsch, Till Bieg, Myriam Gaitsch, Philip Schörpf, Manfred Tscheligi, Simone Kriglstein

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung


Self-tracking has become omnipresent in our daily lives. By providing insights into how work practices relate to performance or (physical and mental) health, quantified-self technologies (QST) have also made their way into the world of work. Contemporary QST process personal data from multiple sources to help people to gain a better knowledge about themselves at work. According to humanistic psychology, humans have an initial drive to grow and self-actualize, that is, to become a better version of themselves. A key step towards self-actualization is accepting oneself without meeting certain conditions and thus questioning so called “conditions of worth” (e.g., I am a valued person if I am good at my job). In this article, we discuss possible effects of QST at the workplace. We raise the question, how QST could be either used as a tool to
locate personal growth outside the capitalist labor process or, on the contrary, to create conditions of worth and thus promote the “entrepreneurial self” – a self which is driven to constantly improve and therefore vulnerable for self- exploitation. In QST development, design choices determine whether they are more designed toward personal growth outside the capitalist labor process or toward the idea of an entrepreneurial self. Thus, we conclude this article by
formulating implications for the design of QST, which we cluster along the actors and purpose of the technology (Who? and Why?), the specifics of the work context (Where?), the temporal aspects of the usage (When?), and the design elements used (How?).
TitelCHIWORK '23: Proceedings of the 2nd Annual Meeting of the Symposium on Human-Computer Interaction for Work (CHIWORK 2023)
ErscheinungsortNew York, NY, USA
Herausgeber (Verlag)Association for Computing Machinery (ACM)
ISBN (Print)9798400708077
PublikationsstatusVeröffentlicht - 20 Sept. 2023
VeranstaltungCHIWORK 2023 Annual Meeting - OFFIS Institute of Information Technology, Oldenburg, Deutschland
Dauer: 13 Juni 202316 Juni 2023


KonferenzCHIWORK 2023 Annual Meeting
KurztitelCHIWORK 2023

Research Field

  • Experience Business Transformation
  • Ehemaliges Research Field - Experience Measurement


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