Alex Endert

schoolGeorgia Institute of Technologybar_chart#628 Global Rank

Total Papers

HCI Rank

#628

Research Areas

Years Active

Recent Publications

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…

CSCW '252nd AuthorData Visualization

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…

UIST '25CorrespondingHuman-LLM Collaboration +1

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…

IUI '252nd AuthorGenerative AI (Text, Image, Music, Video) +2

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…

CHI '255th+ AuthorImmersion & Presence Research +2

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…

CHI '245th+ AuthorGeospatial & Map Visualization +1

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…

IUI '24CorrespondingExplainable AI (XAI) +1

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…

CHI '233rd AuthorInteractive Data Visualization +1

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…

CHI '23CorrespondingInteractive Data Visualization +1

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…

CHI '225th+ AuthorInteractive Data Visualization +1

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…

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