17 citations · 20 across the 8 of their papers we have counts for
9 papers
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…
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…
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…