activity
20202023
most citedNL4DV: A Toolkit for Generating Analytic Specifications for Data Visualization from Natural Language Queries

214 citations · 448 across the 11 of their papers we have counts for

collaborators

12 papers

cs.HC2023★ 4 cited

DataTales: Investigating the use of Large Language Models for Authoring Data-Driven Articles

Nicole Sultanum, Arjun Srinivasan

Authoring data-driven articles is a complex process requiring authors to not only analyze data for insights but also craft a cohesive narrative that effectively communicates the in…

cs.HC2023★ 3 cited

Olio: A Semantic Search Interface for Data Repositories

Vidya Setlur, Andriy Kanyuka, Arjun Srinivasan

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 exa…

cs.HC2023★ 3 cited

Toward a Scalable Census of Dashboard Designs in the Wild: A Case Study with Tableau Public

Joanna Purich, Arjun Srinivasan, Michael Correll +3

Dashboards remain ubiquitous artifacts for presenting or reasoning with data across different domains. Yet, there has been little work that provides a quantifiable, systematic, and…

cs.HC2022

Comparison Conundrum and the Chamber of Visualizations: An Exploration of How Language Influences Visual Design

Aimen Gaba, Vidya Setlur, Arjun Srinivasan +2

The language for expressing comparisons is often complex and nuanced, making supporting natural language-based visual comparison a non-trivial task. To better understand how people…

cs.HC2022★ 1 cited

MEDLEY: Intent-based Recommendations to Support Dashboard Composition

Aditeya Pandey, Arjun Srinivasan, Vidya Setlur

Despite the ever-growing popularity of dashboards across a wide range of domains, their authoring still remains a tedious and complex process. Current tools offer considerable supp…

cs.HC2021

Snowy: Recommending Utterances for Conversational Visual Analysis

Arjun Srinivasan, Vidya Setlur

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 o…