Understanding Visual Analysis Processes from User Interactions using Visual Analytics

category, “Clear.” This type of merging was used by the participant. Furthermore, the participant was particularly interested in patterns involving the combination of selecting authors, affiliations, and concepts with a clearance of selections. The extensive explorations of these varying patterns showed how IntiVisor was able flexibly support the analysis of yet another type of visualization application. • Office Visualizations From Figure 63d, the patterns explored in the Office Visualizations were also quite diverse in their levels of composition and abstraction. Notably, the participant spent a significant amount of time exploring frequent sequences of consecutive operations in the Sequence view so that a large portion the explored patterns include more than one operation. Furthermore, the participant took full advantage of the categorization feature that supports the abstraction of interactions. For example, the participant categorized three actions, “tooltip,” “resize,” and “slider” into a category and labeled them “manipulate” on the canvas in the Categorize view (Figure 67). From the explored patterns, it was clear that this participant was able to utilize the categorization and sequence analysis features to effectively identify patterns of varying levels of composition and abstraction, demonstrating again the flexibility of the system and frame-