Empirical Studies in Information Visualization: Seven Scenarios

By Heidi Lam, Enrico Bertini, Petra Isenberg, Catherine Plaisant, Sheelagh Carpendale. IEEE Transactions on Visualization and Computer Graphics, 2012

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Visual Multiplexing (2014, background): “In addition to some 17 different proposals listed in [CJ10], the recent additions included user characteristics [GZ09], comparative visualization [GAW ∗ 11], video visualization [BCD ∗ 12], evaluation [LBI ∗ 12], mixed reality visualization [KOJC12], and task taxonomy [SNHS13].”
Opportunities and Challenges for Data Physicalization (2015, unknown): “Taking inspiration from work on visualization evaluation scenarios [37], it also seems important to explore methodologies for understanding how people reason, collaborate and communicate with physicalizations.”
Science Mapping: A Systematic Review of the Literature (2017, background): “…in the most recent few years of the cluster, researchers reflect on empirical evaluations of information visualization in various scenarios (Lam et al., 2012), revisit taxonomic organizations of abstract visualization tasks (Brehmer & Munzner, 2013), and synthesize and codify domain…”
A Systematic Review on the Practice of Evaluating Visualization (2013, background): “4 Out of these, 569 (97%) included at least one type of evaluation from our code set and 441 (76%) at least one out of the original seven scenarios [38].”
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”