activity
20182023
most citedVitaLITy: Promoting Serendipitous Discovery of Academic Literature with Transformers & Visual Analytics

31 citations · 70 across the 10 of their papers we have counts for

collaborators

10 papers

cs.HC2023

When do data visualizations persuade? The impact of prior attitudes on learning about correlations from scatterplot visualizations

Doug Markant, Milad Rogha, Alireza Karduni +2

Data visualizations are vital to scientific communication on critical issues such as public health, climate change, and socioeconomic policy. They are often designed not just to in…

cs.HC2021★ 31 cited

VitaLITy: Promoting Serendipitous Discovery of Academic Literature with Transformers & Visual Analytics

Arpit Narechania, Alireza Karduni, Ryan Wesslen +1

There are a few prominent practices for conducting reviews of academic literature, including searching for specific keywords on Google Scholar or checking citations from some initi…

cs.HC2021★ 1 cited

Effect of uncertainty visualizations on myopic loss aversion and equity premium puzzle in retirement investment decisions

Ryan Wesslen, Alireza Karduni, Douglas Markant +1

For many households, investing for retirement is one of the most significant decisions and is fraught with uncertainty. In a classic study in behavioral economics, Benartzi and Tha…

cs.HC2021★ 2 cited

Images, Emotions, and Credibility: Effect of Emotional Facial Images on Perceptions of News Content Bias and Source Credibility in Social Media

Alireza Karduni, Ryan Wesslen, Douglas Markant +1

Images are an indispensable part of the news content we consume. Highly emotional images from sources of misinformation can greatly influence our judgements. We present two studies…

cs.HC2020★ 1 cited

Using Resource-Rational Analysis to Understand Cognitive Biases in Interactive Data Visualizations

Ryan Wesslen, Doug Markant, Alireza Karduni +1

Cognitive biases are systematic errors in judgment. Researchers in data visualizations have explored whether cognitive biases transfer to decision-making tasks with interactive dat…

cs.HC2020★ 7 cited

A Bayesian cognition approach for belief updating of correlation judgement through uncertainty visualizations

Alireza Karduni, Doug Markant, Ryan Wesslen +1

Understanding correlation judgement is important to designing effective visualizations of bivariate data. Prior work on correlation perception has not considered how factors includ…