Vidya Setlur

schoolTableaubar_chart#574 Global Rank

Total Papers

HCI Rank

#574

Research Areas

Years Active

Recent Publications

"I Need to Find That One Chart": How Data Workers Navigate, Summarize and Communicate Analytical Conversations

Conversational interfaces are increasingly used for data analysis, enabling data workers to express complex analytical intents in natural language. Yet, these interactions unfold as long, linear transcripts that are misaligned with the iterative, nonlinear nature of real-world analyses. Revisiting and summarizing conv…

CHI '26CorrespondingHuman-LLM Collaboration +2

Lexara: A User-Centered Toolkit for Evaluating Large Language Models for Conversational Visual Analytics

Large Language Models (LLMs) are transforming Conversational Visual Analytics (CVA) by enabling data analysis through natural language. However, evaluating LLMs for CVA remains a challenge: requiring programming expertise, overlooking real-world complexity, and lacking interpretable metrics for multi-format (visualiza…

IUI '252nd AuthorInteractive Data Visualization +1

Pluto: Authoring Semantically Aligned Text and Charts for Data-Driven Communication

Textual content (including titles, annotations, and captions) plays a central role in helping readers understand a visualization by emphasizing, contextualizing, or summarizing the depicted data. Yet, existing visualization tools provide limited support for jointly authoring the two modalities of text and visuals such…

CHI '252nd AuthorHuman-LLM Collaboration +1

Plume: Scaffolding Text Composition in Dashboards

Text in dashboards plays multiple critical roles, including providing context, offering insights, guiding interactions, and summarizing key information. Despite its importance, most dashboarding tools focus on visualizations and offer limited support for text authoring. To address this gap, we developed Plume, a syste…

CHI '255th+ AuthorHonorable MentionHuman-LLM Collaboration +2

AI-Enabled Conversational Journaling for Advancing Parkinson's Disease Symptom Tracking

Journaling plays a crucial role in managing chronic conditions by allowing patients to document symptoms and medication intake, providing essential data for long-term care. While valuable, traditional journaling methods often rely on static, self-directed entries, lacking interactive feedback and real-time guidance. T…

CHI '25CorrespondingHuman-LLM Collaboration +2

Jupybara: Operationalizing a Design Space for Actionable Data Analysis and Storytelling with LLMs

Mining and conveying actionable insights from complex data is a key challenge of exploratory data analysis (EDA) and storytelling. To address this challenge, we present a design space for actionable EDA and storytelling. Synthesizing theory and expert interviews, we highlight how semantic precision, rhetorical persuas…

IUI '24CorrespondingTime-Series & Network Graph Visualization +2

SlopeSeeker: A Search Tool for Exploring a Dataset of Quantifiable Trends

Natural language and search interfaces intuitively facilitate data exploration and provide visualization responses to diverse analytical queries based on the underlying datasets. However, these interfaces often fail to interpret more complex analytical intents, such as discerning subtleties and quantifiable difference…

UIST '231st AuthorInteractive Data Visualization +1

Olio: A Semantic Search Interface for Data Repositories

Search and information retrieval systems are becoming more expressive in interpreting user queries beyond the traditional weighted bag-of-words model of document retrieval. For example, searching for a flight status or a game score returns a dynamically generated response along with supporting, pre-authored documents…

CHI '221st AuthorConversational Chatbots +2

How do you Converse with an Analytical Chatbot? Revisiting Gricean Maxims for Designing Analytical Conversational Behavior

Chatbots have garnered interest as conversational interfaces for a variety of tasks. While general design guidelines exist for chatbot interfaces, little work explores analytical chatbots that support conversing with data. We explore Gricean Maxims to help inform the basic design of effective conversational interactio…

UIST '21CorrespondingHuman-LLM Collaboration +1

Snowy: Recommending Utterances for Conversational Visual Analysis

Natural language interfaces (NLIs) have become a prevalent medium for conducting visual data analysis, enabling people with varying levels of analytic experience to ask questions of and interact with their data. While there have been notable improvements with respect to language understanding capabilities in these sys…

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