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.

Check submission info here

About

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?

Goals

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

Schedule

All times are UTC-5 (USA Central Time).

Monday, 17 October 2022 - Oklahoma Station 7

14:00 - 14:05	Opening Presentation (In person) Benjamin Bach
14:05 - 14:30	Keynote Presentation (Virtual) Best Practices Considered Harmful (some of the time) Sheelagh Carpendale
14:30 - 14:50	Paper Presentations (Virtual) Supporting Domain Characterization in Visualization Design Studies With the Critical Decision Method Lena Cibulski, Evanthia Dimara, Setia Hermawati, Jörn Kohlhammer How should we design violin plots? Elena Molina, Laia Viale, Pere-Pau Vázquez Guiding visualization practice with questions: 10qviz.org Arzu Çöltekin, Alyssa Goodman
14:50 - 15:15	Paper Presentations (In person) Semantic Color Mapping: A Pipeline for Assigning Meaningful Colors to Text Mennatallah El-Assady, Rebecca Kehlbeck, Yannick Metz, Udo Schlegel, Rita Sevastjanova, Fabian Sperrle, Thilo Spinner Reflections and Considerations on Running Creative Visualization Learning Activities Jonathan Roberts, Benjamin Bach, Magdalena Boucher, Fanny Chevalier, Alexandra Diehl, Uta Hinrichs, Samuel Huron, Andy Kirk, Søren Knudsen, Isabel Meirelles, Rebecca Noonan, Laura Pelchmann, Fateme Rajabiyazdi, Christina Stoiber Analysis Without Data: Teaching Students to Tackle the Vast Challenge Edward He, Daniel Tolessa, Ashley Suh, Remco Chang Considering the Role of Guidelines in Visualization Design Practice Paul Parsons, Prakash Shukla
15:15-15:45	Break
15:45-17:00	Breakout Groups & Discussions Suggested breakout groups: Teaching and education Guidelines and vis practices in the wild Collection and operationalization

Keynote

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).

Submissions

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.

Team

Workshop Co-chairs

Benjamin Bach, University of Edinburgh

Alfie Abdul-Rahman, King’s College London

Alexandra Diehl, University of Zurich

Advisory Board

Min Chen, University of Oxford

Daniel Keim, University of Konstanz

Renato Pajarola, University of Zurich

Program Committee

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

Webmaster

Gabriel Dias Cantareira, King’s College London