Browsing by Author "Storteboom, Sarah"
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- ItemOpen AccessObjective Meaning: Exploring Mediated Discourse with Anonymous Public Interaction and Visual Techniques(2017) Storteboom, Sarah; Carpendale, Sheelagh; Leblanc, Jean-RenéThis thesis explores self-expression and dialogue at the intersection of virtual and physical public space, through the conceptualization and development of "Objective Meaning". This is an artwork that allows individuals to contribute messages anonymously to a public display via personal devices. It builds on relational and disruptive art practices to create an unconventional experience that elicits reflection and a sense of agency for individuals who encounter it. By visually abstracting messages on the display, it is intended that individuals contemplate their engagement with public discourse. The use of visual abstraction also reveals a new space for mediating publicly contributed content on interactive displays. This is further explored through deployment of "Objective Meaning" in a semi-public space, collection of log data and field observations, followed by analysis and reflection on how people make use of this system and respond to the visual mediation of their expression.
- ItemOpen AccessPixelClipper: Supporting Public Engagement and Conversation About Visualizations(IEEE, 2020-03) Walny, Jagoda; Storteboom, Sarah; Pusch, Richard; Hwang, Steven Munsu; Knudsen, Søren; Carpendale, Sheelagh; Willett, Wesley J.In this article, we present PixelClipper, a tool built for facilitating data engagement events. PixelClipper supports conversations around visualizations in public settings through annotation and commenting capabilities. It is recognized that understanding data is important for an informed society. However, even when visualizations are available on the web, open data is not yet reaching all audiences. Public facilitated events centered around data visualizations may help bridge this gap. PixelClipper is designed to promote discussion and engagement with visualizations in public settings. It allows viewers to quickly and expressively extract visual clippings from visualizations and add comments to them. Ambient and facilitator displays attract attention by showing clippings. They function as entry points to the full visualizations while supporting deeper conversations about the visualizations and data. We describe the design goals of PixelClipper, share our experiences from deploying it, and discuss its future potential in supporting data visualization engagement events.