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7th BELIV 2018: Berlin, Germany
- Michael Sedlmair, Petra Isenberg, Miriah Meyer, Tobias Isenberg:
2018 IEEE Evaluation and Beyond - Methodological Approaches for Visualization, BELIV 2018, Berlin, Germany, October 21, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-6884-9 - Yuet Ling Wong, Krishna P. C. Madhavan, Niklas Elmqvist:
Towards Characterizing Domain Experts as a User Group. 1-10 - Stanislaw Nowak, Lyn Bartram, Thecla Schiphorst:
A Micro-Phenomenological Lens for Evaluating Narrative Visualization. 11-18 - Mai Elshehaly, Natasha Alvarado, Lynn McVey, Rebecca Randell, Mamas Mamas, Roy A. Ruddle:
From Taxonomy to Requirements: A Task Space Partitioning Approach. 19-27 - Anamaria Crisan, Madison A. Elliott:
How to Evaluate an Evaluation Study? Comparing and Contrasting Practices in Vis with Those of Other Disciplines : Position Paper. 28-36 - Xiaoying Pu, Matthew Kay:
The Garden of Forking Paths in Visualization: A Design Space for Reliable Exploratory Visual Analytics : Position Paper. 37-45 - Steve Haroz:
Open Practices in Visualization Research : Opinion Paper. 46-52 - André Calero Valdez, Anne Kathrin Schaar, Julian Romeo Hildebrandt, Martina Ziefle:
Requirements for Reproducibility of Research in Situational and Spatio-Temporal Visualization : Position Paper. 53-59 - Hendrik Lücke-Tieke, Marcel Beuth, Philipp Schader, Thorsten May, Jürgen Bernard, Jörn Kohlhammer:
Lowering the Barrier for Successful Replication and Evaluation. 60-68 - Lace M. K. Padilla:
A Case for Cognitive Models in Visualization Research : Position paper. 69-77 - Beatriz Sousa Santos, Samuel S. Silva, Paulo Dias:
Heuristic Evaluation in Visualization: An Empirical Study : Position paper. 78-85 - Donghao Ren, Bongshin Lee, Matthew Brehmer, Nathalie Henry Riche:
Reflecting on the Evaluation of Visualization Authoring Systems : Position Paper. 86-92 - Poorna Talkad Sukumar, Ronald A. Metoyer:
Towards Designing Unbiased Replication Studies in Information Visualization. 93-101 - Robert Kosara, Steve Haroz:
Skipping the Replication Crisis in Visualization: Threats to Study Validity and How to Address Them : Position Paper. 102-107
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