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Exploring how personality models information visualization preferences
Proceedings - 2020 IEEE Visualization Conference, VIS 2020
Year (definitive publication)
2020
Language
English
Country
United States of America
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Abstract
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.
Acknowledgements
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Keywords
HCI design and evaluation methods,Human computer interaction (HCI),Human-centered computing,User studies,Visualization,Visualization design and evaluation methods
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