Fitter, Happier, More Productive? The Normative Ontology of Fitness Trackers

  • Katharina Spiel
  • , Fares Kayali
  • , Louise Horvath
  • , M Penkler
  • , Sabine Harrer
  • , Miguel Sicart
  • , Jessica Hammer

Publications: Contribution to bookContribution to proceedingsPeer Reviewed

Abstract

Fitness trackers promise a longer and better life for the people who engage with them. What is forgotten in their analysis for HCI, though, is how they re-conceptualise the very notion of what constitutes a 'step'. We discuss everyday edge cases illustrating how fitness trackers fail to address goals and ideals of people using them. They merely re-affirm the fitness of already fit people and can have an adversarial effect on others. For future designers, we offer strategies to become aware of their own biases and provide implications for designers potentially leading to more non-normative and diverse designs of trackers.

Original languageEnglish
Title of host publicationCHI EA '18 Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
Subtitle of host publicationEngage with CHI
Place of PublicationNew York
PublisherACM
Number of pages10
ISBN (Electronic)978-1-4503-5621-3
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event36th Annual ACM Conference on Human Factors in Computing System - Montreal, Canada
Duration: 21 Apr 201826 Apr 2018
Conference number: 2018
https://chi2018.acm.org

Conference

Conference36th Annual ACM Conference on Human Factors in Computing System
Abbreviated titleCHI
Country/TerritoryCanada
CityMontreal
Period21/04/1826/04/18
Internet address

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Austrian Fields of Science 2012

  • 102013 Human-computer interaction

Keywords

  • Essay
  • Fitness
  • Health
  • Normativity
  • Re-Ontologisation
  • Self-Tracking

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