4th IEEE Workshop on Visualization Guidelines in Research, Design, and Education
Workshop at IEEE VIS, October 17, Oklahoma City, USA
Deadline for submissions: August 5 (midnight, PDT)
Check schedule here.
The VisGuides 2022 Workshop focuses on the analysis, design, reflection, and discussion of applicable frameworks to mastering guidelines in visualization by the broader visualization community, embedded in a larger research agenda of visualization theory and practices. It follows-up the ideas from the IEEE VIS 2016, 2018, and 2020 Workshop on Creation, Curation, Critique and Conditioning of Principles and Guidelines in Visualization (C4PGV).
The workshop also features an open call for being part of the program committee (PC) to provide an opportunity to advocate for guidelines in a broad range of topics. If you would like to get involved, contact bbach (at) ed.ac.uk.
The workshop will be held in a hybrid format. You can attend online or in person though we hope that you can join us in-person. Online sessions will be synchronous with the in-person workshop.
Topics and Scope
The IEEE VIS VisGuides workshop is a forum for constructive discussions around guidelines in visualization and how the visualization researchers and creators disseminate and discuss their designs. The understanding and operationalization of guidelines is important not only for academics, but also for practitioners alike, who are tasked to make design trade-offs, problem-solving, and justify decisions. Moreover, guidelines are essential for teaching and learning about visualization. Questions this workshop wants to discuss include:
What visualization guidelines exist and how do we (as a scientific community) collect and disseminate them?
How do we apply and discuss guidelines in daily-work practice, in design, in advising, and in teaching?
What is the role of visualization knowledge and guidelines in the wild, i.e., outside the scientific community?
How to scrutinize empirical knowledge and make a discussion around guidelines public?
What are types of guidelines, guidance, and how do we formalize visualization knowledge?
How can we systematize, rank and categorize guidelines in the wild?
Illustrating the use of best practices and guidelines in the wild as seen from the VIS community and practitioners, through discussions among the presenters and the audience.Collecting, reflecting and discussing a survey of well-known guidelines from the presenters and the audience through interactive activities, examples, and submissions
Constructing an open and democratic discussion about principles, guidelines, recommendations, based on the presented evidence (including examples of their uses and misuses), critique (including revision and improvement) and conditioning (i.e., education, training, and deployment) compiling the lessons learned from the usage of those guidelines
Discussing ideas and proposals of feasible approaches towards the formalization of visualization guidelines, with an impact beyond the scientific visualization community; This is an important point as more and more visualization designs are created outside the scientific community and the community must reinforce the efforts to publicize their study results
To raise questions about the ethical, practical, and technical implications of establishing guidelines for visualization; Broadening the discussion of guidelines to applications and educational contexts
All times are UTC-5 (USA Central Time).
Monday, 17 October 2022 - Oklahoma Station 7
|14:00 - 14:05||
Opening Presentation (In person)
|14:05 - 14:30||
Keynote Presentation (Virtual)
Best Practices Considered Harmful (some of the time)
|14:30 - 14:50||
Paper Presentations (Virtual)
|14:50 - 15:15||
Paper Presentations (In person)
Breakout Groups & Discussions
Suggested breakout groups:
Best Practices Considered Harmful (some of the time)
Abstract: I will start by discussing the differences and nuances among the concepts of Best Practices, Guidelines, Lessons Learnt, and Heuristics, pointing out frequently ignored pitfalls and potentially looming pain points. I will discuss how the pendulum between advantages and disadvantages, can be mitigated by individual attitudes and actions.
Bio: Sheelagh Carpendale is a Canada Research Chair in Data Visualization at Simon Fraser University. Her many awards include: the IEEE Visualization Career Award, an NSERC STEACIE (a Canadian Top Science Award); a BAFTA (British Academy of Film & Television Arts – similar to an Oscar in USA), Best Supervision Awards, the Canadian HCI Achievement Award as well as industrial awards. She is a Fellow in the Royal Society of Scientists and has been inducted into the both IEEE Visualization Academy and the ACM CHI Academy. Her research focuses on data visualization, interaction design, and qualitative empirical research. By studying how people interact with data or information both in work and social settings, she works towards designing more natural, accessible and understandable interactive visual representations of data. She combines data visualization 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. Her research in data visualization and interaction design draws on her complex background in Computer Science (BSc. and Ph.D. Simon Fraser University) and Visual Arts (Sheridan College, School of Design and Emily Carr, College of Art).
Submit your work and ideas as either a short paper, long paper, or a guideline report discussing a guideline, its empirical evidence, application, and limitations. Become part of a vibrant half-day workshop that will bring together an exciting program with papers and discussions on the future of guidelines in visualization. Please check here for submission information.
Benjamin Bach, University of Edinburgh
Alfie Abdul-Rahman, King’s College London
Alexandra Diehl, University of Zurich
Min Chen, University of Oxford
Daniel Keim, University of Konstanz
Renato Pajarola, University of Zurich
Andrew McNutt, University of Chicago
Arzu Çöltekin, University of Applied Sciences & Arts Northwestern Switzerland
Eser Kandogan, Megagon Labs
Georges Hattab, Robert Koch Institute
Lane Harrison, Worcester Polytechnic Institute
Nadia Boukhelifa, Université Paris-Saclay
Robert Laramee, University of Nottingham
Sara Di Bartolomeo, Northeastern University
Ulrich Engelke, Commonwealth Scientific and Industrial Research Organisation
Gabriel Dias Cantareira, King’s College London