Journal article
Speculative Vulnerability: Uncovering the Temporalities of Vulnerability in People's Experiences of the Pandemic
Proceedings of the ACM on human-computer interaction, v 6(CSCW2), pp 1-27
07 Nov 2022
Abstract
Pandemic-tracking apps may form a future infrastructure for public health surveillance. Yet, there has been relatively little exploration of the potential societal implications of such an infrastructure. In semi-structured interviews with 23 participants from India, the Middle East and North Africa (MENA), and the United States, we discussed attitudes and preferences regarding the deployment of apps that support contact tracing to contain the spread of COVID-19. Through interpretive analysis, we examined the relationship between persistent discomfort and vulnerability when using such apps. Such an examination yielded three temporal forms of vulnerability: real, anticipatory, and speculative. By identifying and defining the temporalities of vulnerability through an analysis of people's pandemic-related thoughts and experiences, we develop the overlapping discourses of humanistic infrastructure studies and infrastructural speculation. In doing so, we explore the concept of vulnerability itself and present implications for the study of vulnerability in Human-Computer Interaction (HCI) and for the oversight of app-based public health surveillance.
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7 citations in Scopus
Details
- Title
- Speculative Vulnerability
- Creators
- John S. Seberger - Drexel UniversityIke Obi - Purdue University West LafayetteMariem Loukil - Mediterranean Institute of Technology, Tunis, TunisiaWilliam Liao - Indiana University BloomingtonDavid J. Wild - Indiana University BloomingtonSameer Patil - University of Utah
- Publication Details
- Proceedings of the ACM on human-computer interaction, v 6(CSCW2), pp 1-27
- Publisher
- ACM
- Grant note
- ED17HDQ3120040 / United States Economic Development Administration, United States Department of Commerce
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Scopus ID
- 2-s2.0-85146487972
- Other Identifier
- 991021861872604721