3 citations · 6 across the 12 of their papers we have counts for
5 papers · 1 filter
Guidelines Are Not Rules: Characterizing Terminologies around Visualization Design Guidelines
Anna L. Chinni, Md Dilshadur Rahman, Bon Adriel Aseniero +6
A common expectation in visualization research is that outcomes recommend how researchers and practitioners take action or make design decisions. We often express these as "guideli…
Predicting affective connotation of visualizations from their constituent colors
Karen B. Schloss, Halle C. Braun, Kushin Mukherjee +2
With increasing evidence that affective connotation (emotional association) is an important aspect of visual communication, there is a need for methods to predict affective connota…
Affective Color Scales for Colormap Data Visualizations
Halle C. Braun, Kushin Mukherjee, Seth R. Gorelik +1
Research on affective visualization design has shown that color is an especially powerful feature for influencing the emotional connotation of visualizations. Associations between…
Presenting Large Language Models as Companions Affects What Mental Capacities People Attribute to Them
Allison Chen, Sunnie S. Y. Kim, Angel Franyutti +4
How might messages about large language models (LLMs) found in public discourse influence the way people think about and interact with these models? To explore this question, we ra…
CHART-6: Human-Centered Evaluation of Data Visualization Understanding in Vision-Language Models
Arnav Verma, Kushin Mukherjee, Christopher Potts +2
Data visualizations are powerful tools for communicating patterns in quantitative data. Yet understanding any data visualization is no small feat -- succeeding requires jointly mak…