66 citations · 166 across the 36 of their papers we have counts for
40 papers
Lexara-RF: Reference-Free Metrics for Evaluating Conversational Visual Analytics Agents
Srishti Palani, Vidya Setlur
Conversational visual analytics (CVA) agents powered by large language models generate visualizations and natural-language explanations from open-ended queries. Evaluating these mu…
Ptolemy: A Semantic Map of Exploratory Data Analysis
Dylan Wootton, Denny Bromley, Vidya Setlur
A central challenge in exploratory data analysis (EDA) is keeping track of what has already been examined in order to decide what to analyze next. In practice, analysts often run d…
AI Agents and the Future of VIS
Chen Zhu-Tian, Nam Wook Kim, Saeed Boorboor +4
Recent advances in agents (i.e., autonomous, goal-driven AI systems that iteratively observe, act, and learn from their environments) offer a fundamentally different approach from…
Not Always Top-Left: Untangling the Signals that Guide Dashboard Reading Order
Nicole Sultanum, Vidya Setlur
Dashboards are widely used interfaces for data analysis, combining multiple visualizations, text, and interactive controls within a single view. While dashboard authors often struc…
From 'Here' to 'There': Exploring Proximity Semantics in Multimodal Data Exploration
Dennis Bromley, Diana Wang, Vidya Setlur
Modern data exploration tools often struggle to capture the subtleties of analytical intent, especially when users seek patterns that are difficult to specify using traditional que…
Lexara: A User-Centered Toolkit for Evaluating Large Language Models for Conversational Visual Analytics
Srishti Palani, Vidya Setlur
Large Language Models (LLMs) are transforming Conversational Visual Analytics (CVA) by enabling data analysis through natural language. However, evaluating LLMs for CVA remains a c…
"I Need to Find That One Chart": How Data Workers Navigate, Make Sense of, and Communicate Analytical Conversations
Ken Gu, Srishti Palani, Vidya Setlur
Conversational interfaces are increasingly used for data analysis, enabling data workers to express complex analytical intents in natural language. Yet, these interactions unfold a…
RÉCITKIT: A Spatial Toolkit for Designing and Evaluating Human-Centered Immersive Data Narratives
Vidya Setlur, Samuel Ridet
Spatial computing presents new opportunities for immersive data storytelling, yet there is limited guidance on how to build such experiences or adapt traditional narrative visualiz…
Evaluating an Immersive Analytics Application at an Enterprise Business Intelligence Customer Conference
Matthew Brehmer, Ginger Gloystein, Bailiang Zhou +4
We reflect on an evaluation of an immersive analytics application (Tableau for visionOS) conducted at a large enterprise business intelligence (BI) conference. Conducting a study i…
DATAWEAVER: Authoring Data-Driven Narratives through the Integrated Composition of Visualization and Text
Yu Fu, Dennis Bromley, Vidya Setlur
Data-driven storytelling has gained prominence in journalism and other data reporting fields. However, the process of creating these stories remains challenging, often requiring th…
Plume: Scaffolding Text Composition in Dashboards
Maxim Lisnic, Vidya Setlur, Nicole Sultanum
Text in dashboards plays multiple critical roles, including providing context, offering insights, guiding interactions, and summarizing key information. Despite its importance, mos…
AI-Enabled Conversational Journaling for Advancing Parkinson's Disease Symptom Tracking
Mashrur Rashik, Shilpa Sweth, Nishtha Agrawal +6
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 v…
Pluto: Authoring Semantically Aligned Text and Charts for Data-Driven Communication
Arjun Srinivasan, Vidya Setlur, Arvind Satyanarayan
Textual content (including titles, annotations, and captions) plays a central role in helping readers understand a visualization by emphasizing, contextualizing, or summarizing the…
Jupybara: Operationalizing a Design Space for Actionable Data Analysis and Storytelling with LLMs
Huichen Will Wang, Larry Birnbaum, Vidya Setlur
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 sp…
The Data-Wink Ratio: Emoji Encoder for Generating Semantically-Resonant Unit Charts
Matthew Brehmer, Vidya Setlur, Zoe +1
Communicating data insights in an accessible and engaging manner to a broader audience remains a significant challenge. To address this problem, we introduce the Emoji Encoder, a t…
Voicing Uncertainty: How Speech, Text, and Visualizations Influence Decisions with Data Uncertainty
Chase Stokes, Chelsea Sanker, Bridget Cogley +1
Understanding and communicating data uncertainty is crucial for informed decision-making across various domains, including finance, healthcare, and public policy. This study invest…
From Instruction to Insight: Exploring the Functional and Semantic Roles of Text in Interactive Dashboards
Nicole Sultanum, Vidya Setlur
There is increased interest in the interplay between text and visuals in the field of data visualization. However, this attention has predominantly been on the use of text in stand…
DASH: A Bimodal Data Exploration Tool for Interactive Text and Visualizations
Dennis Bromley, Vidya Setlur
Integrating textual content, such as titles, annotations, and captions, with visualizations facilitates comprehension and takeaways during data exploration. Yet current tools often…
Can Nuanced Language Lead to More Actionable Insights? Exploring the Role of Generative AI in Analytical Narrative Structure
Vidya Setlur, Larry Birnbaum
Relevant language describing trends in data can be useful for generating summaries to help with readers' takeaways. However, the language employed in these often template-generated…
Mixing Modes: Active and Passive Integration of Speech, Text, and Visualization for Communicating Data Uncertainty
Chase Stokes, Chelsea Sanker, Bridget Cogley +1
Interpreting uncertain data can be difficult, particularly if the data presentation is complex. We investigate the efficacy of different modalities for representing data and how to…
From Delays to Densities: Exploring Data Uncertainty through Speech, Text, and Visualization
Chase Stokes, Chelsea Sanker, Bridget Cogley +1
Understanding and communicating data uncertainty is crucial for making informed decisions in sectors like finance and healthcare. Previous work has explored how to express uncertai…
SlopeSeeker: A Search Tool for Exploring a Dataset of Quantifiable Trends
Alexander Bendeck, Dennis Bromley, Vidya Setlur
Natural language and search interfaces intuitively facilitate data exploration and provide visualization responses to diverse analytical queries based on the underlying datasets. H…
Almanac: An API for Recommending Text Annotations For Time-Series Charts Using News Headlines
Terrell Ibanez, Vidya Setlur, Maneesh Agrawala
Authors often add text annotations to charts to provide additional context for visually prominent features such as peaks, valleys, and trends. However, writing annotations that pro…
Heuristics for Supporting Cooperative Dashboard Design
Vidya Setlur, Michael Correll, Arvind Satyanarayan +1
Dashboards are no longer mere static displays of metrics; through functionality such as interaction and storytelling, they have evolved to support analytic and communicative goals…