activity
20192023
most citedDesign by Immersion: A Transdisciplinary Approach to Problem-Driven Visualizations

54 citations · 93 across the 6 of their papers we have counts for

collaborators

7 papers

cs.HC2023★ 10 cited

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…

cs.HC2022★ 17 cited

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…

cs.HC2021★ 2 cited

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…

cs.HC2019★ 8 cited

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…

cs.GR2019★ 54 cited

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…

cs.HC2019★ 2 cited

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…

cs.HC2019

Discriminability Tests for Visualization Effectiveness and Scalability

Rafael Veras, Christopher Collins

The scalability of a particular visualization approach is limited by the ability for people to discern differences between plots made with different datasets. Ideally, when the dat…