72 citations · 139 across the 26 of their papers we have counts for
28 papers
Charting Public Health: A Taxonomic Study of Visualization Practices in the Public Health Field
Mia Hines, Alvitta Ottley
Public health organizations regularly produce and publish data visualizations to raise awareness of critical issues, influence decision-making processes, and promote overall well-b…
Data Visualization Style Guides in Practice: Why They Emerge, How They Work, and When They Bend
Alvitta Ottley, Jonathan Schwabish
Visualization style guides play a crucial role in shaping how data is interpreted and trusted, yet they often receive little scrutiny in their creation and use. Understanding their…
FairVizARD: A Visualization System for Assessing Multi-Party Fairness of Ride-Sharing Matching Algorithms
Ashwin Kumar, Sanket Shah, Meghna Lowalekar +3
There is growing interest in algorithms that match passengers with drivers in ride-sharing problems and their fairness for the different parties involved (passengers, drivers, and…
Benchmarking Visual Language Models on Standardized Visualization Literacy Tests
Saugat Pandey, Alvitta Ottley
The increasing integration of Visual Language Models (VLMs) into visualization systems demands a comprehensive understanding of their visual interpretation capabilities and constra…
Trustworthy by Design: The Viewer's Perspective on Trust in Data Visualization
Oen McKinley, Saugat Pandey, Alvitta Ottley
Despite the importance of viewers' trust in data visualization, there is a lack of research on the viewers' own perspective on their trust. In addition, much of the research on tru…
Building and Eroding: Exogenous and Endogenous Factors that Influence Subjective Trust in Visualization
R. Jordan Crouser, Syrine Matoussi, Lan Kung +3
Trust is a subjective yet fundamental component of human-computer interaction, and is a determining factor in shaping the efficacy of data visualizations. Prior research has identi…
Confides: A Visual Analytics Solution for Automated Speech Recognition Analysis and Exploration
Sunwoo Ha, Chaehun Lim, R. Jordan Crouser +1
Confidence scores of automatic speech recognition (ASR) outputs are often inadequately communicated, preventing its seamless integration into analytical workflows. In this paper, w…
Guided By AI: Navigating Trust, Bias, and Data Exploration in AI-Guided Visual Analytics
Sunwoo Ha, Shayan Monadjemi, Alvitta Ottley
The increasing integration of artificial intelligence (AI) in visual analytics (VA) tools raises vital questions about the behavior of users, their trust, and the potential of indu…
The Dance of Logic and Unpredictability: Examining the Predictability of User Behavior on Visual Analytics Tasks
Alvitta Ottley
The quest to develop intelligent visual analytics (VA) systems capable of collaborating and naturally interacting with humans presents a multifaceted and intriguing challenge. VA s…
Do You Trust What You See? Toward A Multidimensional Measure of Trust in Visualization
Saugat Pandey, Oen G. McKinley, R. Jordan Crouser +1
Few concepts are as ubiquitous in computational fields as trust. However, in the case of information visualization, there are several unique and complex challenges, chief among the…
What Exactly is an Insight? A Literature Review
Leilani Battle, Alvitta Ottley
Insights are often considered the ideal outcome of visual analysis sessions. However, there is no single definition of what an insight is. Some scholars define insights as correlat…
Mini-VLAT: A Short and Effective Measure of Visualization Literacy
Saugat Pandey, Alvitta Ottley
The visualization community regards visualization literacy as a necessary skill. Yet, despite the recent increase in research into visualization literacy by the education and visua…
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…
Communicating Intel to Decision-Makers: Toward the Integration Text and Charts in Reports
Melanie Bancilhon, R. Jordan Crouser, Alvitta Ottley
Intelligence analysts' roles include analyzing reports, identifying important information relevant to the current state of affairs, and communicating their takeaways. These reports…
Why Combining Text and Visualization Could Improve Bayesian Reasoning: A Cognitive Load Perspective
Melanie Bancilhon, AJ Wright, Sunwoo Ha +2
Investigations into using visualization to improve Bayesian reasoning and advance risk communication have produced mixed results, suggesting that cognitive ability might affect how…
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…
What Do We Mean When We Say "Insight"? A Formal Synthesis of Existing Theory
Leilani Battle, Alvitta Ottley
Researchers have derived many theoretical models for specifying users' insights as they interact with a visualization system. These representations are essential for understanding…
Inferential Tasks as an Evaluation Technique for Visualization
Ashley Suh, Ab Mosca, Shannon Robinson +4
Designing suitable tasks for visualization evaluation remains challenging. Traditional evaluation techniques commonly rely on 'low-level' or 'open-ended' tasks to assess the effica…
A Grammar-Based Approach for Applying Visualization Taxonomies to Interaction Logs
Sneha Gathani, Shayan Monadjemi, Alvitta Ottley +1
Researchers collect large amounts of user interaction data with the goal of mapping user's workflows and behaviors to their higher-level motivations, intuitions, and goals. Althoug…
Does Interaction Improve Bayesian Reasoning with Visualization?
Ab Mosca, Alvitta Ottley, Remco Chang
Interaction enables users to navigate large amounts of data effectively, supports cognitive processing, and increases data representation methods. However, there have been few atte…
Let's Gamble: How a Poor Visualization Can Elicit Risky Behavior
Melanie Bancilhon, Zhengliang Liu, Alvitta Ottley
Data visualizations are standard tools for assessing and communicating risks. However, it is not always clear which designs are optimal or how encoding choices might influence risk…
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…
Did You Get The Gist Of It? Understanding How Visualization Impacts Decision-Making
Melanie Bancilhon, Alvitta Ottley
As visualization researchers evaluate the impact of visualization design on decision-making, they often hold a one-dimensional perspective on the cognitive processes behind making…
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…