Visual Analytics Goes Mainstream
This work targets the design and evaluation of visual analytics techniques and services that encourage and support people in more data-based thinking. Beyond the traditional domain of the dedicated data analyst, this research and practice seeks to address the emerging needs of the big-data society using interactive visual analytics as the medium of communication and decision-making throughout and across different disciplines, levels of expertise and professional responsibility. The emerging research area of Personal Visual Analytics (PVA) explores the challenges of making data and visualization more accessible and more useful to those who are not experts in data analysis.
Affective Visualization and Computational Aesthetics
This work is concerned with a principled investigation of how affective qualities and impressions can be designed to express meaning (affect) as well as represent data (information) in visualization and visual analytics. We empirically and analytically investigate how approaches from the design and artistic disciplines can be computationally modeled for improving expressivity, the balance of visual elements and the semantic richness in dynamic visualizations to enhance both data storytelling, engagement and problem solving in visual analytics.
HUman-Centred Systems for Sustainability
This research program focuses in designing information interfaces and environments for encouraging sustainable living. This work exemplifies research in practice. We began with a multi-university project to build a next-generation alternative energy house and have extended it to an extensive collaborative endeavour with multiple levels of government, academia, industry and non-profit involvement. We have spent several years building a system and the two houses in which we have deployed it, both of which were high profile installations and showcases. This research brings the area of personal visual analytics and situated interaction design to the extended community of the built environment (engineers, architects, urban planners and energy modelers are inclueded in our collaborations. ) Many of our projects can be seen at hcssl.iat.sfu.ca and westhouse.sfu.ca.
* denotes a student)
- A. Sakiraya, M. Correll, L. Bartram, M. Tory and D. Fisher. What do we talk about when we talk about dashboards? IEEE InfoVis/ Transactions on Visualization and Computer Graphics, Jan 2019
- F. Samsel, L. Bartram and A. Bares. Art, Affect and Color: Creating Expressive Scientific Visualization (full paper). IEEE 2018 Visualization Art Program
- Nowak, S., Bartram, L. and Schiphorst, T. A Micro-Phenomenological Lens for Evaluating Narrative Visualization. IEEE BELIV 2018
- Singhal, S., Neustaedter, C., Odom, W., Bartram, L. and Heshmat, Y. "Time-Turner: Designing for Reflection and Remembrance of Moments in the Home." In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, p. 179-188
- Bach B, Stefaner M, Boy J, Drucker S, Bartram L et al. Narrative Design Patterns for Data-Driven Storytelling. In Carpendale, S., Diakopoulos, N., Riche, N. H., & Hurter, C. (eds). Data-Driven Storytelling. CRC Press
- A1. *Feng, C., Bartram, L. and Gromala, D. Beyond Data: Abstract Motionscape as Affective Visualization. Leonardo/ISAST, MIT Press. 2017
- Bartram, L., Patra, A., & Stone, M. Affective Color in Visualization. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (pp. 1364-1374). ACM.
- *Makonin, Stephen, Fred Popowich, Ivan V. Bajic, Bob Gill, and Lyn Bartram. Exploiting HMM Sparsity to Perform Online Real-Time Nonintrusive Load Monitoring. IEEE Transactions on Smart Grid, 7(6), 2575-2585.
- Bartram, L., *Kashani, M. and Woodbury, R. Human-centred models of use for energy efficient residential operation. Proceedings of DEMAND 2016 Conference, Lancaster, UK
- *Huang, D, Tory, M. and Bartram, L. A Field Study of in-Calendar Visualizations, Proceedings of Graphics Interface 2016, Victoria, Canada. Winner, Best HCI Paper.
- *Lockyer, M., Bartram, L., Schiphorst, T. and Studd, K. Enhancing Visualization with Abstract Motion. Proceedings of Human Vision and Electronic Imaging, San Francisco 2016.
- Li W, Bartram L, Pasquier P. (2016). Techniques and Approaches in Static Visualization of Motion Capture Data. Proceedings of the 3rd International Symposium on Movement and Computing. ACM International Symposium on Movement and Computing (MoCO), Greece, pp 14-20
- Bartram, L. Design Challenges and Opportunities for Eco-Feedback in the Home. IEEE Computer Graphics and Applications, 35(4), 52–62. 2015
- *Huang, D., Tory, M., Aseniero, B.A., Bartram, L., Bateman, S., Carpendale, S., Tang, A. and Woodbury, R. Personal visualization and personal visual analytics. , IEEE Transactions on Visualization and Computer Graphics, 21(3), pp.420-433. 2015
- * Kashani, Maryam H., Lyn Bartram, and Robert Woodbury. "Green Building Design as If People Mattered." Sustainable Human–Building Ecosystems. 176-184.
- *Lockyer, M., Bartram, L., Schiphorst, T. and Studd, K. Extending computational models of abstract motion with movement qualities. MOCO ’15 (2nd International symposium on Movement and Cognition), Vancouver, BC. ACM.
- * Feng, C., Bartram, L. , Riecke, B. Evaluating affective features of 3D motionscapes. ACM Symposium on Applied Perception, Vancouver, BC.
- *Moura, D. and Bartram, L. Investigating Players’ Responses to Wayfinding Cues in 3D Video Games. Extended Proceedings of ACM CHI 2014, Toronto, Ontario, May 2014.
- C. Neustadter, L. Bartram and A. Ma. Everyday Activities and Energy Consumption: How Families Understand the Relationship. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2013), Paris
- *S. Makonin, L. Bartram, and F. Popowich, “A Smarter Smart Home: Case Studies of Ambient Intelligence,” Pervasive Computing, IEEE, vol. 12, no. 1, pp. 58–66. 2013
- S. Makonin, F. Popowich, L. Bartram, R. Gill and I. Baljcic. AMPds: A Public Dataset for Load Disaggregation and Eco-Feedback Research. IEEE EPEC 2013
- *D. Milam, M. Seif el-Nasr, and L. Bartram. Visual Motion in a Railed Shooter Game: A Designer Study. Foundations of Digital Games 2013.
- *M. Lockyer and L. Bartram. Affective motion textures, Computers & Graphics. 36(6), pp. 776-790. 2012
- *Stephen Makonin, *Maryam H Kashani and Lyn Bartram. The Affect of Lifestyle Factors on Eco-Visualization Design. Computer Graphics International 2012 (CGI 2012), pp 1-10.
- *M. Lockyer and L. Bartram. “The aMotion Toolkit: Painting with Affective Motion Textures”. Proceedings of Computational Aesthetics (CAe 2012), Eurographics, pp. 35-43
- . *J. Rodgers and L. Bartram. Exploring Ambient and Artistic Visualizations for Residential Energy Use. IEEE Transactions on Visualization and Computer Graphics, December 2012, 17(12):2489-97.2012
- *M. Lockyer, L. Bartram and B. Rieke. Simple Motion Textures for Ambient Affect. In Proceedings of Computational Aesthetics 2011 Eurographics Conference on Computational Aesthetics in Graphics, Visualization and Imaging, Cae'11, Vancouver, BC, Canada. 8 pages. Winner, Best Paper.
- Bartram, Lyn; *Cheung, Billy; Stone, Maureen; The Effect of Colour and Transparency on the Perception of Overlaid Grids. IEEE Transactions on Visualization and Computer Graphics, 17 (12 ), 2011, pp 1942 – 1948 2011
- .L Bartram and M. Stone. Whisper, Don’t Scream: Grids and Transparency. IEEE Transactions on Visualization and Computer Graphics, 17 (10), Oct. 2011, pp. 1444-1458. 2011
- L. Bartram, *J. Rodgers and K. Muise. Chasing the Negawatt: Visualization for Sustainable Living. IEEE Computer Graphics and Applications, 30 (3), pp. 8-14. 2010
- Bartram, L., & *Yao, M. Animating causal overlays. Computer Graphics Forum 27 (3), pp. 751-758). Blackwell Publishing Ltd.