Alexander Lex

schoolUniversity of Utahbar_chart#1337 Global Rank

Total Papers

HCI Rank

#1337

Research Areas

Years Active

Recent Publications

Crowdsourced Think-Aloud Studies

The think-aloud (TA) protocol is a useful method for evaluating user interfaces, including data visualizations. However, TA studies are time-consuming to conduct and hence often have a small number of participants. Crowdsourcing TA studies would help alleviate these problems, but the technical overhead and the unknown…

CHI '25CorrespondingTime-Series & Network Graph Visualization +1

Visualization Guardrails: Designing Interventions Against Cherry-Picking in Interactive Data Explorers

The growing popularity of interactive time series exploration platforms has made data visualization more accessible to the public. However, the ease of creating polished charts with preloaded data also enables selective information presentation, often resulting in biased or misleading visualizations. Research shows th…

CHI '242nd AuthorVisual Impairment Technologies (Screen Readers, Tactile Graphics, Braille) +2

"Yeah, this graph doesn't show that": Analysis of Online Engagement with Misleading Data Visualizations

Attempting to make sense of a phenomenon or crisis, social media users often share data visualizations and interpretations that can be erroneous or misleading. Prior work has studied how data visualizations can mislead, but do misleading visualizations reach a broad social media audience? And if so, do users amplify o…

CHI '234th AuthorInteractive Data Visualization +1

Troubling Collaboration: Matters of Care for Visualization Design Study

A common research process in visualization is for visualization researchers to collaborate with domain experts to solve particular applied data problems. While there is existing guidance and expertise around how to structure collaborations to strengthen research contributions, there is comparatively little guidance on…

CHI '233rd AuthorUncertainty Visualization +1

Misleading Beyond Visual Tricks: How People Actually Lie with Charts

Data visualizations can empower an audience to make informed decisions. At the same time, deceptive representations of data can lead to inaccurate interpretations while still providing an illusion of data-driven insights. Existing research on misleading visualizations primarily focuses on examples of charts and techni…

CHI '21CorrespondingInteractive Data Visualization +1

reVISit: Looking Under the Hood of Interactive Visualization Studies

Quantifying user performance with metrics such as time and accuracy does not show the whole picture when researchers evaluate complex, interactive visualization tools. In such systems, performance is often influenced by different analysis strategies that statistical analysis methods cannot account for. To remedy this…

CHI '20CorrespondingInteractive Data Visualization +1

Evaluating Multivariate Network Visualization Techniques Using a Validated Design and Crowdsourcing Approach

Visualizing multivariate networks is challenging because of the trade-offs necessary for effectively encoding network topology and encoding the attributes associated with nodes and edges. A large number of multivariate network visualization techniques exist, yet there is little empirical guidance on their respective s…

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