The Work to Make Facial Recognition Work
Christian Greiffenhagen, Xinzhi Xu, Stuart Reeves
Abstract
Facial recognition technology (FRT) has become a significant topic in CSCW owing to widespread adoption and related criticisms: the use of FRT is often considered an assault on privacy or a kind of neo-phrenology. This discussion has revolved around uses of FRT for identification, which are often non-voluntary, in particular for surveillance wherein people are (by and large) unwittingly recognized by FRT systems. At the same time, we have also seen a rise of forms of FRT for verification (e.g., passport control or Apple's Face ID), which typically are overt and interactive. In this paper we study an interactive FRT system used for guest check-in at a hotel in China. We show how guests and bystanders engage in 'self-disciplining work' by controlling their facial (and bodily) comportment both to get recognized and at times to avoid recognition. From our analysis we discuss the role of preparatory and remedial work, as well as dehumanization, and the importance of CSCW paying closer attention to the significance of interactional compliance for people using and bystanding facial recognition technologies.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Your agent calls
Lunesearch_papers
Free to start. No credit card required.
Terminal
Install the CLIlune papers get 568c79ca-732d-4eff-a3cc-b58dd936607fCited by top-tier papers1
Ask how each one uses itRelated papers
- Face Work: A Human-Centered Investigation into Facial Verification in Gig WorkElizabeth Anne WatkinsCSCW 2023 · 15 citations
- Pseudo-Automation: How Labor-Offsetting Technologies Reconfigure Roles and Relationships in Frontline Retail WorkPegah Moradi, Karen Levy, Cristobal CheyreCSCW 2025 · 7 citations
- Data Work of Frontline Care Workers: Practices, Problems, and Opportunities in the Context of Data-Driven Long-Term CareYuling Sun, Xiaojuan Ma, Silvia Lindtner, Liang HeCSCW 2023 · 51 citations
- Care Workers' Wellbeing in Data-Driven Healthcare Workplace: Identity, Agency, and Social JusticeYuling Sun, Xiaojuan Ma, Silvia Lindtner, Liang HeCSCW 2023 · 15 citations
- Better Living Through Creepy Technology? Exploring Tensions Between a Novel Class of Well-Being Apps and Affective Discomfort in App CultureJohn S. Seberger, Hyesun Choung, Jaime Snyder, Prabu DavidCSCW 2024 · 16 citations
