4 citations · 12 across the 15 of their papers we have counts for
4 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…
AI-guided stimuli discovery and generation to optimize facial emotion perception studies in autism
Kushin Mukherjee, Na Yeon Kim, Maren Wehrheim +2
Understanding perceptual differences between autistic and neurotypical adults requires behavioral assays that are sensitive, reliable, and mechanistically informative. Facial emoti…
auto-psych: Automating the science of mind using agent-driven theory discovery and experimentation
Ben Prystawski, Kushin Mukherjee, Daniel Wurgaft +4
AI-based scientific automation is increasingly possible by using agents to generate hypotheses, design experiments, and analyze data. Data collection is a major bottleneck in this…