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Conversational AI Threads for Visualizing Multidimensional Datasets
From these findings, we developed AI Threads, a multi-threaded analytic chatbot that enables analysts to proactively manage conversational context and improve the efficacy of its outputs.
Eliciting Model Steering Interactions from Users via Data and Visual Design Probes
In this research, we conduct an elicitation study using data and visual design probes to examine if and how experts with a spectrum of ML expertise use semantic interactions to update a simple classification model.
Interactive Model Cards: A Human-Centered Approach to Model Documentation
Deep learning models for natural language processing (NLP) are increasingly adopted and deployed by analysts without formal training in NLP or machine learning (ML).
Fits and Starts: Enterprise Use of AutoML and the Role of Humans in the Loop
AutoML systems can speed up routine data science work and make machine learning available to those without expertise in statistics and computer science.
User Ex Machina : Simulation as a Design Probe in Human-in-the-Loop Text Analytics
Topic models are widely used analysis techniques for clustering documents and surfacing thematic elements of text corpora.
On Regulatory and Organizational Constraints in Visualization Design and Evaluation
This lack of more explicit guidance can leave visualization researchers and practitioners vulnerable to unforeseen constraints beyond the user's needs that can affect the validity of evaluations, or even lead to the premature termination of a project.
Human-Computer Interaction
