86 citations · 471 across the 33 of their papers we have counts for
5 papers · 1 filter
Human-Computer Collaboration for Visual Analytics: an Agent-based Framework
Shayan Monadjemi, Mengtian Guo, David Gotz +2
The visual analytics community has long aimed to understand users better and assist them in their analytic endeavors. As a result, numerous conceptual models of visual analytics ai…
A Unified Comparison of User Modeling Techniques for Predicting Data Interaction and Detecting Exploration Bias
Sunwoo Ha, Shayan Monadjemi, Roman Garnett +1
The visual analytics community has proposed several user modeling algorithms to capture and analyze users' interaction behavior in order to assist users in data exploration and ins…
Competing Models: Inferring Exploration Patterns and Information Relevance via Bayesian Model Selection
Shayan Monadjemi, Roman Garnett, Alvitta Ottley
Analyzing interaction data provides an opportunity to learn about users, uncover their underlying goals, and create intelligent visualization systems. The first step for intelligen…
Guided Data Discovery in Interactive Visualizations via Active Search
Shayan Monadjemi, Sunwoo Ha, Quan Nguyen +3
Recent advances in visual analytics have enabled us to learn from user interactions and uncover analytic goals. These innovations set the foundation for actively guiding users duri…
Learning and Anticipating Future Actions During Exploratory Data Analysis
Ran Wan, Roman Garnett, Alvitta Ottley
The goal of visual analytics is to create a symbiosis between human and computer by leveraging their unique strengths. While this model has demonstrated immense success, we are yet…