Casual Information Visualization: Depictions of Data in Everyday Life
By Zachary Pousman, John T. Stasko, Michael Mateas. IEEE Transactions on Visualization and Computer Graphics, 2007
473 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Information Systems and Management, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/ba95d61d26da82fe67a5e4b7a627014b603de703
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Tamara Munzner
- Matthew Brehmer
- Petra Isenberg
- Sheelagh Carpendale
- Martin Wattenberg
- Fernanda B. Viégas
- Niklas Elmqvist
- Jean C. Scholtz
In Information Systems and Management
- Sheelagh Carpendale
- Martin Wattenberg
- Fernanda B. Viégas
- Anind K. Dey
- Niklas Elmqvist
- Tamara Munzner
- Brian Y. Lim
- Jakob Eyvind Bardram
In Human-Computer Interaction
- Sheelagh Carpendale
- Martin Wattenberg
- Fernanda B. Viégas
- Anind K. Dey
- Niklas Elmqvist
- Tamara Munzner
- Petra Isenberg
- Matthew Brehmer
Citations in the corpus
- Empirical Studies in Information Visualization: Seven Scenarios (2012, unknown): “In the context of casual visualizations, that is, visualizations that “depict personally meaningful information in visual ways that support everyday users in both everyday work and nonwork situations” [64], direct observation and interviews are common evaluation techniques.”
- A Multi-Level Typology of Abstract Visualization Tasks (2013, background): “Enjoy refers to casual encounters with visualization [54, 65].”
- Participatory Visualization with Wordle (2009, result): “The notion of " casual infovis " [6] is also directly relevant to our investigation.”
- A stage-based model of personal informatics systems (2010, background): “On the reflection side, Casual Information Visualization [19] and Slow Technology [9] help people reflect on everyday patterns.”
- Personal Visualization and Personal Visual Analytics (2015, background): “However, while their focus was to identify high-level categories of systems that were outside of traditional InfoVis, our focus here is to articulate a taxonomy of design dimensions that characterize PV&PVA.”
- Collaborative visualization: Definition, challenges, and research agenda (2011, background): “focus of collaborative visualization with its specific aspects, challenges, and requirements within the intersection of general computer-supported cooperative work (CSCW) and visualization research, and (3) to draw attention to important future research questions to be addressed by the community.”
- Opportunities and Challenges for Data Physicalization (2015, unknown): “ambient data displays and support casual visualization [53].”