Professor Min Chen to present paper on new theoretical concept in Visualization

Professor Min Chen to present paper on new theoretical concept in Visualization

Professor Min Chen will be presenting a paper on glyph-based visualization at IEEE VIS2017 this month.

The paper [1], co-authored by Phil Legg, Eamonn Maguire and Simon Walton, was published recently in IEEE Computer Graphics and Applications, and presents a new theoretical concept called "Quasi-Hamming Distance" for measuring the similarity between glyphs (small visual objects for encoding multivariate data records).

Because there are typically many glyphs in a glyph-based visualization, it is necessary to ensure that one can distinguish glyphs that represent different records. The concept of "Quasi-Hamming Distance", together with a set of practical methods for measuring such distances, allows visualization designers to optimise a set of glyphs to maximize their legibility and distinguishability. The paper also presents an application of this concept in designing a set of glyphs for supporting collaboration in shared file storage services, such as Dropbox and Git.

IEEE VIS2017 is being held in Arizona from 1st-6th October and will include programs for students, academics, artists, industry and commercial practitioners, government researchers, and anyone with interests in visualization and data analytics.

Professor Chen will also be one of the panellists at VIS2017 on the panel "How do Recent Machine Learning Advances Impact the Data Visualization Research Agenda?", with Timo Ropinski (Organizer, Ulm University), Daniel Archambault (Swansea University), Ross Maciejewski (Arizona State University), Klaus Mueller (Stony Brook University), Alexandru Telea (University of Groningen), and Martin Wattenberg (Google). Professor Chen's position statement, entitled "the Space of Machine Learning", presents his high-level analysis, from a theoretical perspective, about machine learning technology, algorithms in general, and human heuristics.

Professor Chen's VIS 2016 Panel, "Pathways for Theoretical Advances in Visualization", won the "VIS2016 Best Panel Award".  The panellists championed for different aspects of a theoretical foundation, including taxonomies and ontologies, principles and guidelines, conceptual models and theoretic frameworks, and quantitative laws and theoretic systems. The related paper [2] was recently published in IEEE Computer Graphics and Applications, presenting their vision in a more structured and detailed manner.

The paper urges visualization researchers to start exploring the unanswered theoretical questions: "We must always respect such challenges 'in theory', but we should never be afraid of them 'in practice'".

 

[1] Phil Legg, Eamonn Maguire, Simon Walton, and Min Chen. "Glyph Visualization: A Fail-Safe Design Scheme Based on Quasi-Hamming Distances." IEEE Computer Graphics and Applications, 37(2):31-41, 2017. doi: 10.1109/MCG.2016.66
https://vimeo.com/groups/480818/videos/230841589

[2] Min Chen, Georges Grinstein, Chris R. Johnson, Jessie Kennedy, Melanie Tory. "Pathways for Theoretical Advances in Visualization." IEEE Computer Graphics and Applications, 37(4):103-112, 2017. doi: 10.1109/MCG.2017.3271463
https://vimeo.com/183444681