Alireza Karduni

schoolIDEObar_chart#2218 Global Rank

Total Papers

HCI Rank

#2218

Research Areas

Years Active

Recent Publications

Does a Picture Paint a Thousand Words? Using Visual and Textual Channels to Understand Attitudes and Beliefs

In Human-Computer Interaction, eliciting user attitudes and beliefs is crucial for understanding user interactions with technology. Existing elicitation methods range from expressive open-ended text to structured formats like Likert scales. Expressive methods yield rich insights but are difficult to systematically ana…

CHI '233rd AuthorData Storytelling +2

When do Data Visualizations Persuade? The Impact of Prior Attitudes on Learning about Correlations from Scatterplot Visualizations

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 inform, but to persuade people to make consequential decisions (e.g., to get vaccinated). Are such visualizations persuasive, especially when…

CHI '202nd AuthorHonorable MentionConversational Chatbots +1

Studying the Effects of Cognitive Biases in Evaluation of Conversational Agents

Humans quite frequently interact with conversational agents. The rapid advancement in generative language modeling through neural networks has helped advance the creation of intelligent conversational agents. Researchers typically evaluate the output of their models through crowdsourced judgments, but there are no est…

CHI '201st AuthorInteractive Data Visualization +1

Du Bois Wrapped Bar Chart: Visualizing Categorical Data with Disproportionate Values

We propose a visualization technique, Du Bois wrapped bar chart, inspired by work of W.E.B Du Bois. Du Bois wrapped bar charts enable better large-to-small bar comparison by wrapping large bars over a certain threshold. We first present two crowdsourcing experiments comparing wrapped and standard bar charts to evaluat…

IUI '191st AuthorInteractive Data Visualization +2

Vulnerable to Misinformation? Verifi!

We present Verifi2, a visual analytic system to support the investigation of misinformation on social media. Various models and studies have emerged from multiple disciplines to detect or understand the effects of misinformation. However, there is still a lack of intuitive and accessible tools that help social media u…

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