Mind Drifts, Data Shifts: Utilizing Mind Wandering to Track the Evolution of User Experience with Data Visualizations
Anjana Arunkumar, Lace Padilla, and Chris Bryan

TL;DR
This paper investigates how mind wandering during data visualization impacts user recall, engagement, and interpretation, proposing it as a dynamic measure to improve visualization design and evaluation.
Contribution
It introduces the novel idea of using mind wandering as a real-time indicator of user experience in data visualization, linking cognitive states to design effectiveness.
Findings
Mind wandering reduces short-term recall of visualizations.
Mind wandering influences engagement and emotional responses.
Type of mind wandering affects interpretation and emotional engagement.
Abstract
User experience in data visualization is typically assessed through post-viewing self-reports, but these overlook the dynamic cognitive processes during interaction. This study explores the use of mind wandering -- a phenomenon where attention spontaneously shifts from a primary task to internal, task-related thoughts or unrelated distractions -- as a dynamic measure during visualization exploration. Participants reported mind wandering while viewing visualizations from a pre-labeled visualization database and then provided quantitative ratings of trust, engagement, and design quality, along with qualitative descriptions and short-term/long-term recall assessments. Results show that mind wandering negatively affects short-term visualization recall and various post-viewing measures, particularly for visualizations with little text annotation. Further, the type of mind wandering impacts…
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Taxonomy
TopicsMind wandering and attention · Online Learning and Analytics
