Browsing by Author "Isenberg, Petra"
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- ItemOpen AccessCollaborative information visualization in co-located environments(2009) Isenberg, Petra; Carpendale, Sheelagh
- ItemMetadata onlyDigital Tables for Collaborative Information Exploration(Springer, 2010) Isenberg, Petra; Hinrichs, Uta; Hancock, Mark; Carpendale, SheelaghThere is great potential for digital tabletop displays to be integrated in tomorrow’s work and learning environments, in which the exploration of information is a common task. In this chapter, we describe the stream of research that focuses on digital tabletop collaborative visualization environments. We focus on two types of interfaces: those for information exploration and data analysis in the context of workplaces, and those for more casual information exploration in public settings such as museums.
- ItemOpen AccessInformation Visualization for Exploration and Self-Reflection in Social Media(2021-06) Lapides, Paul; Carpendale, Sheelagh; Isenberg, Petra; Willett, Wesley; Boulanger, Pierre; Katz, Larry; Aycock, JohnThe emergence of global social media platforms in the last decade has changed how people communicate and inform themselves. Today, people use social media during work and leisure time to send messages, browse current events, and keep up with friends and family both near and far. Virtually every platform uses reverse chronological lists to prioritize and deliver content throughout the network. This presentation modality implicitly puts the viewer's focus on the present moment, on the newest content available. Lists may be effective for the purposes of real-time content viewing but other representations are better suited to see our social media activity in aggregate and to focus the viewer's attention on the past. This dissertation investigates the potential of information visualization to show people their social media data to gain awareness about their online social history. Unlike many visualizations for social media that use graph representations and focus on the structure of the network, our approach focuses on showing the broad temporal characteristics of personal social media activity. We present design studies that focus on three different parts of a social media platform, specifically Facebook: the news feed, the personal profile, and private messages. In our first study, participants were observed while they browsed their news feed and were interviewed in situ about their reactions and opinions. Next, we present Friend Bubbles, an interactive visualization that shows the connections between friends and posted content on the personal profile. Finally, we present TextVis, an online survey tool that asks participants to explore their instant message history with a large-scale temporal visualization. This dissertation ends with reflections about how social media and computer interfaces may influence people's attention and awareness, and how information visualization can be used to support exploration and deeper knowledge about personal social media experiences.
- ItemMetadata onlyProceedings of the Workshop on Data Exploration for Interactive Surfaces DEXIS 2011(2011) Isenberg, Petra; Carpendale, Sheelagh; Hesselmann, Tobias; Isenberg, Tobias; Lee, Bongshin
- ItemOpen AccessSeven Guiding Scenarios for Information Visualization Evaluation(2011-01-24T18:03:42Z) Lam, Heidi; Bertini, Enrico; Isenberg, Petra; Plaisant, Catherine; Carpendale, SheelaghWe take a new, scenario based look at evaluation in information visualization. Our seven scenarios, evaluating visual data analysis and reasoning, evaluating user performance, evaluating user experience, evaluating environments and work practices, evaluating communication through visualization, automated evaluation of visualizations, and evaluating collaborative data analysis were derived through an extensive literature review of over 800 visualization publications. These scenarios are described through their goals, the types of questions they embody and illustrated through example studies. Through this broad survey and the distillation of these scenarios we make two contributions. One, we encapsulate the current practices in the information visualization research community and, two, we provide a different approach to reaching decisions about what might be the most effective evaluation of a given information visualization. For example, if the research goals or evaluative questions are known they can be used to map to specific scenarios, where practical existing examples can be considered for effective evaluation approaches.