🤖 AI Summary
Visualization research has long emphasized its explicit, interventionist functions while overlooking its role as an “invisible infrastructure” that provides stable, background support in expert practice. Method: Drawing on ethnographic fieldwork at NASA’s Mission Control Center, this study integrates theories of joint cognitive systems, naturalistic decision-making, and infrastructure studies to analyze how visualizations recede into the background yet reliably scaffold attention allocation, cross-role coordination, and real-time judgment. Contribution/Results: The study demonstrates that visualization’s value lies not only in generating insights but—more fundamentally—in establishing a trustworthy foundation for everyday practice within high-reliability organizations. It thus advocates a paradigm shift toward studying visualization as “implicit support,” proposing new theoretical frameworks and methodological approaches aligned with infrastructure properties. This reframing extends both the theoretical scope and practical relevance of visualization research.
📝 Abstract
Visualization research often centers on how visual representations generate insight, guide interpretation, or support decision-making. But in many real-world domains, visualizations do not stand out--they recede into the background, stabilized and trusted as part of the everyday infrastructure of work. This paper explores what it means to take such quiet roles seriously. Drawing on theoretical traditions from joint cognitive systems, naturalistic decision making, and infrastructure studies, I examine how visualization can become embedded in the rhythms of expert practice--less a site of intervention than a scaffold for attention, coordination, and judgment. I illustrate this reorientation with examples from mission control operations at NASA, where visualizations are deeply integrated but rarely interrogated. Rather than treat invisibility as a failure of design or innovation, I argue that visualization's infrastructural presence demands new concepts, methods, and critical sensibilities. The goal is not to diminish visualization's importance, but to broaden the field's theoretical repertoire--to recognize and support visualization-in-use even when it fades from view.