Paper Info
Title
Evaluating Visual Data Analysis Systems: A Discussion Report
Abstract
Visual data analysis is a key tool for helping people to make sense of and interact with massive data sets. However, existing evaluation methods (e.g., database benchmarks, individual user studies) fail to capture the key points that make systems for visual data analysis (or visual data systems) challenging to design. In November 2017, members of both the Database and Visualization communities came together in a Dagstuhl seminar to discuss the grand challenges in the intersection of data analysis and interactive visualization. In this paper, we report on the discussions of the working group on the evaluation of visual data systems, which addressed questions centered around developing better evaluation methods, such as "How do the different communities evaluate visual data systems?" and "What we could learn from each other to develop evaluation techniques that cut across areas?". In their discussions, the group brainstormed initial steps towards new joint evaluation methods and developed a first concrete initiative --- a trace repository of various real-world workloads and visual data systems --- that enables researchers to derive evaluation setups (e.g., performance benchmarks, user studies) under more realistic assumptions, and enables new evaluation perspectives (e.g., broader meta analysis across analysis contexts, reproducibility and comparability across systems).
Year
DOI
Venue
2018
10.1145/3209900.3209901
SIGMOD/PODS '18: International Conference on Management of Data Houston TX USA June, 2018
DocType
ISBN
Citations 
Conference
978-1-4503-5827-9
2
PageRank 
References 
Authors
0.36
0
9
Name
Order
Citations
PageRank
Leilani Battle130827.65
Marco Angelini28920.77
Carsten Binnig361961.38
tiziana catarci41406271.05
Philipp Eichmann5245.09
Jean-Daniel Fekete63572175.41
G. Santucci7266132.92
Michael Sedlmair891551.74
Wesley Willett9547.36