Personal Data and Power Asymmetries in U.S. Collegiate Sports Teams
| Autor: | Calvin Liang, Samantha Kolovson, Kate Starbird, Sean A. Munson |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Power asymmetry
biology Computer Networks and Communications Athletes business.industry media_common.quotation_subject Ecology (disciplines) 05 social sciences 02 engineering and technology Public relations biology.organism_classification Human-Computer Interaction Power (social and political) Negotiation 020204 information systems 0202 electrical engineering electronic engineering information engineering 0501 psychology and cognitive sciences Psychology business 050107 human factors Social Sciences (miscellaneous) media_common |
| Zdroj: | Proceedings of the ACM on Human-Computer Interaction. 4:1-27 |
| ISSN: | 2573-0142 |
| DOI: | 10.1145/3375185 |
| Popis: | Collaborations increasingly draw on personal data. We examine personal-data-supported collaborations in a high stakes, high-performance environment: collegiate sports. We conducted 22 interviews with people from four common roles within collegiate sports teams: athletes, sport coaches, athletic trainers, and strength and conditioning coaches. Using boundary negotiating artifacts as a lens for analysis, we describe an ecology of personal data in collaborations among these four roles. We use this ecology to highlight tensions and foreground issues of power asymmetry in these collaborations. To characterize these power asymmetries in the collaborative use of personal data, we propose an extension of boundary negotiating artifacts: extraction artifacts. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|