101 citations · 118 across the 7 of their papers we have counts for
7 papers
Toward a Scalable Census of Dashboard Designs in the Wild: A Case Study with Tableau Public
Joanna Purich, Arjun Srinivasan, Michael Correll +3
Dashboards remain ubiquitous artifacts for presenting or reasoning with data across different domains. Yet, there has been little work that provides a quantifiable, systematic, and…
Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data Work
Jennifer Rogers and, Anamaria Crisan
Automated Machine Learning (AutoML) technology can lower barriers in data work yet still requires human intervention to be functional. However, the complex and collaborative proces…
Interactive Model Cards: A Human-Centered Approach to Model Documentation
Anamaria Crisan, Margaret Drouhard, Jesse Vig +1
Deep learning models for natural language processing (NLP) are increasingly adopted and deployed by analysts without formal training in NLP or machine learning (ML). However, the d…
Fits and Starts: Enterprise Use of AutoML and the Role of Humans in the Loop
Anamaria Crisan, Brittany Fiore-Gartland
AutoML systems can speed up routine data science work and make machine learning available to those without expertise in statistics and computer science. These systems have gained t…
User Ex Machina : Simulation as a Design Probe in Human-in-the-Loop Text Analytics
Anamaria Crisan, Michael Correll
Topic models are widely used analysis techniques for clustering documents and surfacing thematic elements of text corpora. These models remain challenging to optimize and often req…
GEViTRec: Data Reconnaissance Through Recommendation Using a Domain-Specific Prevalence Visualization Design Space
Anamaria Crisan, Shannah Fisher, Jennifer L. Gardy +1
Genomic Epidemiology (genEpi) is a branch of public health that uses many different data types including tabular, network, genomic, and geographic, to identify and contain outbreak…
On Regulatory and Organizational Constraints in Visualization Design and Evaluation
Anamaria Crisan, Jennifer L. Gardy, Tamara Munzner
Problem-based visualization research provides explicit guidance toward identifying and designing for the needs of users, but absent is more concrete guidance toward factors externa…