47 citations · 91 across the 20 of their papers we have counts for
8 papers · 1 filter
Visualizing in the Mind's Eye: Icon Design Shapes Mental Imagery of Fire Risks
Wen Xu, Anjana Arunkumar, Lace M. Padilla
We introduce mental imagery, or seeing images in the "mind's eye," as a cognitive process that can be shaped by data visualization design and in turn impact decisions. We found in…
An Analysis of Text Functions in Information Visualization
Chase Stokes, Anjana Arunkumar, Marti A. Hearst +1
Text is an integral but understudied component of visualization design. Although recent studies have examined how text elements (e.g., titles and annotations) influence comprehensi…
Mind Drifts, Data Shifts: Utilizing Mind Wandering to Track the Evolution of User Experience with Data Visualizations
Anjana Arunkumar, Lace Padilla, Chris Bryan
User experience in data visualization is typically assessed through post-viewing self-reports, but these overlook the dynamic cognitive processes during interaction. This study exp…
Image or Information? Examining the Nature and Impact of Visualization Perceptual Classification
Anjana Arunkumar, Lace Padilla, Gi-Yeul Bae +1
How do people internalize visualizations: as images or information? In this study, we investigate the nature of internalization for visualizations (i.e., how the mind encodes visua…
LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity
Anjana Arunkumar, Shubham Sharma, Rakhi Agrawal +2
Cross-task generalization is a significant outcome that defines mastery in natural language understanding. Humans show a remarkable aptitude for this, and can solve many different…
PromptAid: Prompt Exploration, Perturbation, Testing and Iteration using Visual Analytics for Large Language Models
Aditi Mishra, Utkarsh Soni, Anjana Arunkumar +3
Large Language Models (LLMs) have gained widespread popularity due to their ability to perform ad-hoc Natural Language Processing (NLP) tasks with a simple natural language prompt.…