The effect of user characteristics in time series visualizations

Studying the resiliency of the anchoring bias to locus of control in visualization

“…Second, comprehensive research on the effect of LOC in InfoVis settings shows that this trait affects the time spent, user strategies, and, in general, behavioral aspects of using interactive visualizations. 14,31,32,49,50 This richness allows us to leverage LOC to study cognitive biases in information visualization from a scope of relationships with psychological constructs. Taking into account that the time spent and the frequency of interactions with visualizations are indicators of both the AE priming and LOC profiles, we expect that anchoring the participant and then cross-referencing the interaction logs with the LOC may provide further insights into what makes an individual susceptible to the anchoring effect in the context of visualization use.…”

Exploring How Personality Models Information Visualization Preferences

“…Furthermore, external LoC can be differentiated in two types: Powerful Others -believe in an ordered world controlled by powerful others -and Chance -consider the world as unordered and chaotic [18]. Several studies have shown how LoC is related to search performance across hierarchical [10], time series [31], and item comparison [4] visualization designs, visualization use [34,36], and behavioural patterns [26]. Although Internals are significantly faster than Externals when performing procedural tasks (search tasks to locate items) [10], Externals are faster and more accurate than Internals regarding inferential tasks such as comparing two items [34,36].…”

“…In order to study how personality affects user preferences regarding information visualization techniques, we started by choosing which contexts we wanted to address (Figure 1): (i) hierarchy, one of the most common in research (e.g. [36]); (ii) evolution over time, giving the importance of time series data analysis [31]; and (iii) comparison, as it is more appropriate to show differences or similarities between values at a fixed granularity [4]. We include a simple and familiar scenario with each context in order to stimulate users to reflect on the implications of using each idiom rather than the complexity of the data.…”

“…[25,26]), we believe that there is a lack of findings regarding how personality affects user preferences for information visualization techniques. Weighting how personality has an effect on user preferences, our study focuses on whether personality promotes user preferences regarding idioms used for hierarchy, evolution over time, and comparison contexts, as these contexts have been frequently applied in state-of-the-art research [4,20,31]. In particular, we address all traits and their facets from the FFM, and the three dimensions from LoC to provide an in-depth analysis.…”