Exploring How Personality Models Information Visualization Preferences
This work addresses how individual personality differences can inform the design of visualization systems for users, though it is incremental as it builds on existing research on individual differences in visualization.
The study investigated whether personality traits influence user preferences for information visualization idioms in hierarchy, evolution over time, and comparison contexts, finding that traits like Neuroticism, Openness, and Locus of Control dimensions correlate with idiom preferences.
Recent research on information visualization has shown how individual differences act as a mediator on how users interact with visualization systems. We focus our exploratory study on whether personality has an effect on user preferences regarding idioms used for hierarchy, evolution over time, and comparison contexts. Specifically, we leverage all personality variables from the Five-Factor Model and the three dimensions from Locus of Control (LoC) with correlation and clustering approaches. The correlation-based method suggested that Neuroticism, Openness to Experience, Agreeableness, several facets from each trait, and the External dimensions from LoC mediate how much individuals prefer certain idioms. In addition, our results from the cluster-based analysis showed that Neuroticism, Extraversion, Conscientiousness, and all dimensions from LoC have an effect on preferences for idioms in hierarchy and evolution contexts. Our results support the incorporation of in-depth personality synergies with InfoVis into the design pipeline of visualization systems.