Representing Marginalized Populations: Challenges in Anthropographics

Anthropographics are human-shaped visualizations that have primarily been used within visualization research and data journalism to show humanitarian and demographic data. However, anthropographics have typically been produced by a small group of designers, researchers, and journalists, and most use homogeneous representations of marginalized populations-representations that might have problematic implications for how viewers perceive the people they represent. In this paper, we use a critical lens to examine anthropographic visualization practices in projects about marginalized populations. We present critiques that identify three potential challenges related to the use of anthropographics and highlight possible unintended consequences-namely (1) creating homogeneous depictions of marginalized populations, (2) treating marginalization as an inclusion criteria, and (3) insufficiently contextualizing datasets about marginalization. Finally, we highlight opportunities for anthropographics research, including the need to develop techniques for representing demographic differences between marginalized populations and for studies exploring other potential effects of anthropographics

Grand Challenges in Immersive Analytics

The definitive version will be published in CHI 2021, May 8–13, 2021, Yokohama, JapanInternational audienceImmersive Analytics is a quickly evolving field that unites several areas such as visualisation, immersive environments, and humancomputer interaction to support human data analysis with emerging technologies. This research has thrived over the past years with multiple workshops, seminars, and a growing body of publications, spanning several conferences. Given the rapid advancement of interaction technologies and novel application domains, this paper aims toward a broader research agenda to enable widespread adoption. We present 17 key research challenges developed over multiple sessions by a diverse group of 24 international experts, initiated from a virtual scientific workshop at ACM CHI 2020. These challenges aim to coordinate future work by providing a systematic roadmap of current directions and impending hurdles to facilitate productive and effective applications for Immersive Analytics