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When the augmented reality (AR) industry was first forming, many hyperbolic futures were imagined. These futures served important functions, whether it was growing the community, motivating investors, or setting priorities for AR companies. Over time, however, futures and collective expectations for the technology can change dramatically. This study analyzes two futures data sets to understand 10 years of futures surrounding AR—one from years of participant observation at AR conferences, the other from a digital archive of media about wearable technologies called FABRIC. By comparing a 10-year period of futures as AR moved across stages of the development cycle, this study identifies specific ways in which flows of discourses worked to shape the conferences, which in turn shaped the collective futures and expectations about AR. This study builds on our empirical and theoretical understanding of futures by comparing futures across multiple levels (macro/micro) and longitudinally mapping the interrelationships between streams of futures.

This commentary discusses recent developments in 'knowledge graph' technology over the course of the Covid-19 pandemic. Recently experiencing a surge in popularity, knowledge graphs are technologies that assist with data integration through structured metadata modeling. Researchers tag and collate vast amounts of diverse data using knowledge graphs, yet problems related to semantic drift and more salient issues related to the political economy of information and communication technologies persist. Researchers should believe that the semantics of Covid-19 knowledge graphs can change over time. Equally important, researchers should also consider all stakeholders involved, including those stakeholders that might be excluded. ; Klein College of Media and Communication ; Media Studies and Production