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ContAQT: Designing an Interactive Data Display to Make Multi-Pollutant Air Quality Data Accessible

Air pollution poses critical health and environmental risks, yet public communication of air quality data is typically reduced to a single Air Quality Index (AQI) value that obscures underlying complexity. Existing visualization tools reinforce this oversimplification, leaving key AQI messages unaddressed. This paper…

Yixuan Li et al.

Georgia Institute of Technology

Cartographers in Cubicles: How Training and Preferences of Mapmakers Interplay with Structures and Norms in Not-for-Profit Organizations

Choropleth maps are a common and effective way to visualize geographic thematic data. Although cartographers have established many principles about map design, data binning and color usage, less is known about how mapmakers make individual decisions in practice. We interview 16 cartographers and geographic information…

Arpit Narechania et al.Georgia Institute of Technology

Data Visualization

OnGoal: Tracking and Visualizing Conversational Goals in Multi-Turn Dialogue with Large Language Models

As multi-turn dialogues with large language models (LLMs) grow longer and more complex, how can users better evaluate and review progress on their conversational goals? We present OnGoal, an LLM chat interface that helps users better manage goal progress. OnGoal provides real-time feedback on goal alignment through LL…

Adam J Coscia et al.Georgia Institute of Technology

Guidance Source Matters: How Guidance from AI, Expert, or a Group of Analysts Impacts Visual Data Preparation and Analysis

The progress in generative Artificial Intelligence (AI) has fueled AI-powered tools like co-pilots and assistants to provision better guidance, particularly during data analysis. However, research on guidance has not yet examined the perceived efficacy of the source from which guidance is offered and the impact of thi…

Arpit Narechania et al.Georgia Institute of Technology

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Ego vs. Exo and Active vs. Passive: Investigating the Individual and Combined Effects of Viewpoint and Navigation on Spatial Immersion and Understanding in Immersive Storytelling

Visual storytelling combines visuals and narratives to communicate important insights. While web-based visual storytelling is well-established, leveraging the next generation of digital technologies for visual storytelling, specifically immersive technologies, remains underexplored. We investigated the impact of the s…

Tao Lu et al.Georgia Institute of Technology

DeepSee: Multidimensional Visualizations of Seabed Ecosystems

Scientists studying deep ocean microbial ecosystems use limited numbers of sediment samples collected from the seafloor to characterize important life-sustaining biogeochemical cycles in the environment. Yet conducting fieldwork to sample these extreme remote environments is both expensive and time consuming, requirin…

Adam J Coscia et al.Georgia Institute of Technology

iScore: Visual Analytics for Interpreting How Language Models Automatically Score Summaries

The recent explosion in popularity of large language models (LLMs) has inspired learning engineers to incorporate them into adaptive educational tools that automatically score summary writing. Understanding and evaluating LLMs is vital before deploying them in critical learning environments, yet their unprecedented si…

Adam J Coscia et al.Georgia Institute of Technology

Causalvis: Visualizations for Causal Inference

Causal inference is a statistical paradigm for quantifying causal effects using observational data. It is a complex process, requiring multiple steps, iterations, and collaborations with domain experts. Analysts often rely on visualizations to evaluate the accuracy of each step. However, existing visualization toolkit…

Grace Guo et al.Georgia Institute of Technology

DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation

Selecting relevant data subsets from large, unfamiliar datasets can be difficult. We address this challenge by modeling and visualizing two kinds of auxiliary information: (1) quality - the validity and appropriateness of data required to perform certain analytical tasks; and (2) usage - the historical utilization cha…

Arpit Narechania et al.Georgia Institute of Technology

Supporting the Contact Tracing Process with WiFi Location Data: Opportunities and Challenges

Contact tracers assist in containing the spread of highly infectious diseases such as COVID-19 by engaging community members who receive a positive test result in order to identify close contacts. Many contact tracers rely on community member's recall for those identifications, and face limitations such as unreliable…

Kaely Hall et al.Georgia Institute of Technology

Causal Perception in Question-Answering Systems

Root cause analysis is a common data analysis task. While question-answering systems enable people to easily articulate a why question (e.g., why students in Massachusetts have high ACT Math scores on average) and obtain an answer, these systems often produce questionable causal claims. To investigate how such claims…

Po-Ming Law et al.Georgia Institute of Technology

Understanding Law Enforcement Strategies and Needs for Combating Human Trafficking

In working to rescue victims of human trafficking, law enforcement officers face a host of challenges. Working in complex, layered organizational structures, they face challenges of collaboration and communication. Online information is central to every phase of a human-trafficking investigation. With terabytes of ava…

Julia Deeb-Swihart et al.Georgia Institute of Technology

Paper Title	Authors	Research Topics
ContAQT: Designing an Interactive Data Display to Make Multi-Pollutant Air Quality Data Accessible Air pollution poses critical health and environmental risks, yet public communication of air quality data is typically reduced to a single Air Quality Index (AQI) value that obscures underlying complexity. Existing visualization tools reinforce this oversimplification, leaving key AQI messages unaddressed. This paper…	YL Yixuan Li et al.Georgia Institute of Technology
Cartographers in Cubicles: How Training and Preferences of Mapmakers Interplay with Structures and Norms in Not-for-Profit Organizations Choropleth maps are a common and effective way to visualize geographic thematic data. Although cartographers have established many principles about map design, data binning and color usage, less is known about how mapmakers make individual decisions in practice. We interview 16 cartographers and geographic information…	AN Arpit Narechania et al.Georgia Institute of Technology	Data Visualization
OnGoal: Tracking and Visualizing Conversational Goals in Multi-Turn Dialogue with Large Language Models As multi-turn dialogues with large language models (LLMs) grow longer and more complex, how can users better evaluate and review progress on their conversational goals? We present OnGoal, an LLM chat interface that helps users better manage goal progress. OnGoal provides real-time feedback on goal alignment through LL…	AC Adam J Coscia et al.Georgia Institute of Technology
Guidance Source Matters: How Guidance from AI, Expert, or a Group of Analysts Impacts Visual Data Preparation and Analysis The progress in generative Artificial Intelligence (AI) has fueled AI-powered tools like co-pilots and assistants to provision better guidance, particularly during data analysis. However, research on guidance has not yet examined the perceived efficacy of the source from which guidance is offered and the impact of thi…	AN Arpit Narechania et al.Georgia Institute of Technology
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
Ego vs. Exo and Active vs. Passive: Investigating the Individual and Combined Effects of Viewpoint and Navigation on Spatial Immersion and Understanding in Immersive Storytelling Visual storytelling combines visuals and narratives to communicate important insights. While web-based visual storytelling is well-established, leveraging the next generation of digital technologies for visual storytelling, specifically immersive technologies, remains underexplored. We investigated the impact of the s…	TL Tao Lu et al.Georgia Institute of Technology
DeepSee: Multidimensional Visualizations of Seabed Ecosystems Scientists studying deep ocean microbial ecosystems use limited numbers of sediment samples collected from the seafloor to characterize important life-sustaining biogeochemical cycles in the environment. Yet conducting fieldwork to sample these extreme remote environments is both expensive and time consuming, requirin…	AC Adam J Coscia et al.Georgia Institute of Technology
iScore: Visual Analytics for Interpreting How Language Models Automatically Score Summaries The recent explosion in popularity of large language models (LLMs) has inspired learning engineers to incorporate them into adaptive educational tools that automatically score summary writing. Understanding and evaluating LLMs is vital before deploying them in critical learning environments, yet their unprecedented si…	AC Adam J Coscia et al.Georgia Institute of Technology
Causalvis: Visualizations for Causal Inference Causal inference is a statistical paradigm for quantifying causal effects using observational data. It is a complex process, requiring multiple steps, iterations, and collaborations with domain experts. Analysts often rely on visualizations to evaluate the accuracy of each step. However, existing visualization toolkit…	GG Grace Guo et al.Georgia Institute of Technology
DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation Selecting relevant data subsets from large, unfamiliar datasets can be difficult. We address this challenge by modeling and visualizing two kinds of auxiliary information: (1) quality - the validity and appropriateness of data required to perform certain analytical tasks; and (2) usage - the historical utilization cha…	AN Arpit Narechania et al.Georgia Institute of Technology
Supporting the Contact Tracing Process with WiFi Location Data: Opportunities and Challenges Contact tracers assist in containing the spread of highly infectious diseases such as COVID-19 by engaging community members who receive a positive test result in order to identify close contacts. Many contact tracers rely on community member's recall for those identifications, and face limitations such as unreliable…	KH Kaely Hall et al.Georgia Institute of Technology
Causal Perception in Question-Answering Systems Root cause analysis is a common data analysis task. While question-answering systems enable people to easily articulate a why question (e.g., why students in Massachusetts have high ACT Math scores on average) and obtain an answer, these systems often produce questionable causal claims. To investigate how such claims…	PL Po-Ming Law et al.Georgia Institute of Technology
Understanding Law Enforcement Strategies and Needs for Combating Human Trafficking In working to rescue victims of human trafficking, law enforcement officers face a host of challenges. Working in complex, layered organizational structures, they face challenges of collaboration and communication. Online information is central to every phase of a human-trafficking investigation. With terabytes of ava…	JD Julia Deeb-Swihart et al.Georgia Institute of Technology