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20192022
most citedSupporting Serendipitous Discovery and Balanced Analysis of Online Product Reviews with Interaction-Driven Metrics and Bias-Mitigating Suggestions

17 citations · 19 across the 2 of their papers we have counts for

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cs.HC202217 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.HC20212 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

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.HC2019

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…