Design Study Methodology: Reflections from the Trenches and the Stacks

By Michael Sedlmair, Miriah D. Meyer, Tamara Munzner. IEEE Transactions on Visualization and Computer Graphics, 2012

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A survey on information visualization: recent advances and challenges (2014, methodology): “oped a set of advanced empirical evaluation methods and design study methods [12,49,52,60,78,84,119], as well”
EventAction (2019, methodology): “The design process of EventAction was inspired by the nine-stage framework proposed by Sedlmair et al. [64].”
Temporal Event Sequence Simplification (2013, background): “Index Terms—Event sequences, simplification, electronic heath records, temporal query.”
Exploring Discrimination: A User-centric Evaluation of Discrimination-Aware Data Mining (2012, methodology): “Pertinent methodology comes from design studies and visual data mining [20].”
A Survey of Visual Analytics Techniques and Applications: State-of-the-Art Research and Future Challenges (2013, background): “Sedlmair et al.[28] introduced a methodology with nine stages (learn, winnow, cast, discover, design, implement, deploy, reflect, and write) for conducting an effective design study.”
A Systematic Review on the Practice of Evaluating Visualization (2013, background): “Instead of case studies we call these ‘usage scenarios,’ echoing a previous call to distinguish usage scenarios from the more formal case study method [59].”
Better decision support through exploratory discrimination-aware data mining: foundations and empirical evidence (2014, methodology): “Pertinent methodology comes from design studies and visual data mining (Sedlmair et al. 2012).”