54 citations · 93 across the 6 of their papers we have counts for
7 papers
A Heuristic Approach for Dual Expert/End-User Evaluation of Guidance in Visual Analytics
Davide Ceneda, Christopher Collins, Mennatallah El-Assady +3
Guidance can support users during the exploration and analysis of complex data. Previous research focused on characterizing the theoretical aspects of guidance in visual analytics…
Supporting Serendipitous Discovery and Balanced Analysis of Online Product Reviews with Interaction-Driven Metrics and Bias-Mitigating Suggestions
Mahmood Jasim, Christopher Collins, Ali Sarvghad +1
In this study, we investigate how supporting serendipitous discovery and analysis of online product reviews can encourage readers to explore reviews more comprehensively prior to m…
Professional Differences: A Comparative Study of Visualization Task Performance and Spatial Ability Across Disciplines
Kyle Wm. Hall, Anthony Kouroupis, Anastasia Bezerianos +2
Problem-driven visualization work is rooted in deeply understanding the data, actors, processes, and workflows of a target domain. However, an individual's personality traits and c…
A Visual Analytics Framework for Adversarial Text Generation
Brandon Laughlin, Christopher Collins, Karthik Sankaranarayanan +1
This paper presents a framework which enables a user to more easily make corrections to adversarial texts. While attack algorithms have been demonstrated to automatically build adv…
Design by Immersion: A Transdisciplinary Approach to Problem-Driven Visualizations
Kyle Wm. Hall, Adam J. Bradley, Uta Hinrichs +4
While previous work exists on how to conduct and disseminate insights from problem-driven visualization projects and design studies, the literature does not address how to accompli…
Semantic Concept Spaces: Guided Topic Model Refinement using Word-Embedding Projections
Mennatallah El-Assady, Rebecca Kehlbeck, Christopher Collins +2
We present a framework that allows users to incorporate the semantics of their domain knowledge for topic model refinement while remaining model-agnostic. Our approach enables user…