Workshop Organizers

Charles Perin, University of Calgary, Canada

is a postdoc at the University of Calgary. His doctoral research, at the intersection of Human-Computer Interaction and Information Visualization, focused on exploring new interaction techniques for Information Visualization. He mostly published his work on interaction techniques at CHI [8] [10] [14] and Infovis [7] [9]. He is interested in i) designing new interaction techniques; and ii) information visualization application areas related to personal data visualization for everyone (e.g., sports monitoring, health improvement, individual decision-making).

Alice Thudt, University of Calgary, Canada

is a PhD student in Computational Media Design. She is pursuing her research at the InnoVis Group at the University of Calgary. Her research focuses on using information visualization to integrate people’s personal data collections better into their everyday lives. Recent projects have explored visualizations for autobiographical storytelling [13] and the design of visualization techniques to reflect autobiographical memories [12]. She is further interested in democratizing the creation of visualization to a wider audience of non-experts [4].

Melanie Tory, University of Victoria, Canada

is an Associate Professor of Computer Science at the University of Victoria. Her visualization research applies to a wide variety of areas spanning natural sciences and engineering, business, and personal informatics. Recent projects have focused on visualizing personal home energy and fitness data and supporting collaboration around visualizations. Relevant papers include a characterization of personal visualization and personal visual analytics [2] an article on what motivates people to use visualizations in non-work contexts [11] and work on integrating personal data within digital calendars [3].

Wesley Willett, University of Calgary, Canada

is an Assistant Professor of Computer Science at the University of Calgary. His interests span information visualization, social computing, new media, and human computer interaction, and his research focuses on pairing data and interactivity to support collaboration, learning, and discovery. In particular, his work explores the intersection of visualization and computer-supported collaborative work and shows how communities, crowds, and novice users can work together build knowledge from data. Dr. Willett’s recent work has explored how communities can collaborate to collect and analyze data [16] [20], how large groups of crowd workers can help process data sets [17] [19], and how visualization can help people better understand personal data like digital notes [18]. This work has earned a number of awards, including the Best Paper award at Pervasive 2010 and a Best Paper Honorable Mention at CHI 2011.

Sheelagh Carpendale, University of Calgary, Canada

is a Canada Research Chair in Information Visualization at the University of Calgary. Her research draws upon her combined backgrounds in computer science and visual arts, benefiting from the interdisciplinary cross-fertilization to enable the design of innovative, people-centred information technologies. By studying how people interact with information both in work and social practices, she works towards designing more natural, accessible and understandable interactive visual representations of data [5] [6] [15]. She combines information visualization, visual analytics and human-computer interaction with innovative new interaction techniques to better support the everyday practices of people who are viewing, representing, and interacting with information [1].

Important Dates

Submissions Deadline:
August 31 2015
Notifications:
September 14 the latest
Workshop:
Sunday, October 25 2015, 8:30--12:10

References

[1] S. Carpendale and M. Tory. Guest editor’s introduction: Personal visualization and personal visual analytics. IEEE Computer Graphics and Applications: Special Issue on Personal Visualization and Personal Visual Analytics, 2015.
[2] D. Huang, M. Tory, B. Aseniero, L. Bartram, S. Bateman, S. Carpendale, A. Tang, and R. Woodbury. Personal visualization and personal visual analytics. Visualization and Computer Graphics, IEEE Transactions on, 21(3):420–433, March 2015.
[3] D. Huang, M. Tory, and L. Bartram. Data in everyday life: Visualizing time-varying data on a calendar. Poster at IEEE VIS 2014, 2014.
[4] S. Huron, S. Carpendale, A. Thudt, A. Tang, and M. Mauerer. Constructive visualization. In Proceedings of the 2014 Conference on Designing Interactive Systems, DIS ’14, pages 433–442, New York, NY, USA, 2014. ACM.
[5] S. Huron, Y. Jansen, and S. Carpendale. Constructing visual representations: Investigating the use of tangible tokens. Visualization and Computer Graphics, IEEE Transactions on, 20(12):2102–2111, Dec 2014.
[6] H. MacLeod, A. Tang, and S. Carpendale. Personal informatics in chronic illness management. In GI ’13: Proceedings of the 2013 Graphics Interface Conference, pages 149–156, 2013.
[7] C. Perin, P. Dragicevic, and J.-D. Fekete. Revisiting bertin matrices: New interactions for crafting tabular visualizations. Visualization and Computer Graphics, IEEE Transactions on, 20(12):2082–2091, Dec 2014.
[8] C. Perin, F. Vernier, and J.-D. Fekete. Interactive horizon graphs: Improving the compact visualization of multiple time series. In Proceedings of the Conference on Human Factors in Computing Systems, CHI ’13, pages 3217–3226. ACM, 2013.
[9] C. Perin, R. Vuillemot, and J.-D. Fekete. Soccerstories: A kick-off for visual soccer analysis. Visualization and Computer Graphics, IEEE Transactions on, 19(12):2506–2515, 2013.
[10] C. Perin, R. Vuillemot, and J.-D. Fekete. A table!: Improving temporal navigation in soccer ranking tables. In Proceedings of the Conference on Human Factors in Computing Systems, CHI ’14, pages 887–896. ACM, 2014.
[11] D. Sprague and M. Tory. Exploring how and why people use visualizations in casual contexts: Modeling user goals and regulated motivations. Information Visualization, 11(2):106–123, Apr. 2012.
[12] A. Thudt, D. Baur, and S. Carpendale. Visits: A spatiotemporal visualization of location histories. Earned EuroVis 2013 Best Short Paper Award, 2013.
[13] A. Thudt, D. Baur, and S. Carpendale. Autobiographical visualizations: Challenges in personal storytelling. In Proceedings of the DIS’14 Workshop on A Personal Perspective on Visualization and Visual Analytic, 2014.
[14] R. Vuillemot and C. Perin. Investigating the direct manipulation of ranking tables for time navigation. In Proceedings of the Conference on Human Factors in Computing Systems, CHI ’15, pages 2703–2706. ACM, 2015.
[15] J. Walny, S. Huron, and S. Carpendale. An exploratory study of data sketching for visual representation. Computer Graphics Forum, To appear, 2015.
[16] W. Willett, P. Aoki, N. Kumar, S. Subramanian, and A. Woodruff. Common sense community: Scaffolding mobile sensing and analysis for novice users. In Proceedings of the 8th International Conference on Pervasive Computing, Pervasive’10, pages 301–318, Berlin, Heidelberg, 2010. Springer-Verlag.
[17] W. Willett, S. Ginosar, A. Steinitz, B. Hartmann, and M. Agrawala. Identifying redundancy and exposing provenance in crowdsourced data analysis. IEEE Transactions on Visualization and Computer Graphics, 19(12):2198–2206, Dec. 2013.
[18] W. Willett, P. Goffin, and P. Isenberg. Understanding digital notetaking practice for visualization. IEEE Computer Graphics and Applications: Special Issue on Personal Visualization and Personal Visual Analytics, 2015.
[19] W. Willett, J. Heer, and M. Agrawala. Strategies for crowdsourcing social data analysis. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’12, pages 227–236, New York, NY, USA, 2012. ACM.
[20] W. Willett, J. Heer, J. Hellerstein, and M. Agrawala. Commentspace: Structured support for collaborative visual analysis. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’11, pages 3131–3140, New York, NY, USA, 2011. ACM.