21 citations · 31 across the 9 of their papers we have counts for
10 papers
MuTable: Composable and Reusable Table Transformations for In-Situ Data Exploration
Fuling Sun, Devamardeep Hayatpur, Jane L. E +2
Tables are central to data work to support precise lookup and full detail, but they can be limiting for overview and pattern-finding tasks. Visualizations are then created to gain…
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…
Once Again, with Style: Understanding and Supporting Partial Reuse in Dashboard Authoring
Nicole Sultanum, Gustavo Moreira, Arjun Srinivasan
Presentation-oriented tasks including formatting and layout design are critical but often neglected aspects of dashboard authoring given their labor intensive nature. In this work,…
DashGuide: Authoring Interactive Dashboard Tours for Guiding Dashboard Users
Naimul Hoque, Nicole Sultanum
Dashboard guidance helps dashboard users better navigate interactive features, understand the underlying data, and assess insights they can potentially extract from dashboards. How…
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…
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…
Data Guards: Challenges and Solutions for Fostering Trust in Data
Nicole Sultanum, Dennis Bromley, Michael Correll
From dirty data to intentional deception, there are many threats to the validity of data-driven decisions. Making use of data, especially new or unfamiliar data, therefore requires…
To Search or To Gen? Exploring the Synergy between Generative AI and Web Search in Programming
Ryan Yen, Nicole Sultanum, Jian Zhao
The convergence of generative AI and web search is reshaping problem-solving for programmers. However, the lack of understanding regarding their interplay in the information-seekin…
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…
An Interdisciplinary Perspective on Evaluation and Experimental Design for Visual Text Analytics: Position Paper
Kostiantyn Kucher, Nicole Sultanum, Angel Daza +5
Appropriate evaluation and experimental design are fundamental for empirical sciences, particularly in data-driven fields. Due to the successes in computational modeling of languag…