Jane Hoffswell

Research Scientist

Seattle

Jane is a research scientist at Adobe, specializing in visualization and human-computer interaction (HCI). Her research focuses on data-driven storytelling and natural language insights, exploratory data analysis, responsive visualization, visualizations for system and code understanding, and the design of interactive, end-user systems. Jane received her Ph.D. in Computer Science from the University of Washington, where she was advised by Prof. Jeffrey Heer as part of the Interactive Data Lab. Before that, she graduated from Harvey Mudd College with a B.S. in Computer Science.

For more details and a complete list of publications, please refer to her personal website.

Publications

Utilizing Provenance as an Attribute for Visual Data Analysis: A Design Probe with ProvenanceLens

Narechania, Arpit., Guo, Shunan., Koh, Eunyee., Endert, Alex., Hoffswell, Jane. (May. 19, 2025)

IEEE TVCG 2025

A Case Study of Human-Authored versus Automatic Dashboard Summaries

Hoffswell, Jane., Bursztyn, Victor., Guo, Shunan., Koh, Eunyee. (Apr. 28, 2025)

ACM CHI 2025 LBW

Comprehensive Sketching: Exploring Infographic Design Alternatives in Parallel

Shi, Xinyu., Guo, Shunan., Hoffswell, Jane., Chan, Gromit., Bursztyn, Victor., Zhao, Jian., Koh, Eunyee. (Apr. 26, 2025)

CHI 2025

Representing Charts as Text for Language Models: An In-Depth Study of Question Answering for Bar Charts

Bursztyn, Victor., Hoffswell, Jane., Guo, Shunan., Koh, Eunyee. (Oct. 13, 2024)

IEEE VIS 2024 (short paper)

How Aligned are Human Chart Takeaways and LLM Predictions? A Case Study on Bar Charts with Varying Layouts

Wang, Huichen., Hoffswell, Jane., Thane, Sao., Bursztyn, Victor., Bearfield, Cindy. (Oct. 13, 2024)

IEEE VIS 2024

Interaction Techniques for Exploratory Data Visualization on Mobile Devices

Snyder, Luke., Rossi, Ryan., Koh, Eunyee., Heer, Jeffrey., Hoffswell, Jane. (May. 27, 2024)

EuroVis 2024 (short paper)

Socrates: Data Story Generation via Adaptive Machine-Guided Elicitation of User Feedback

Wu, Guande., Guo, Shunan., Hoffswell, Jane., Chan, Gromit., Rossi, Ryan., Koh, Eunyee. (Oct. 23, 2023)

IEEE VIS 2023

Dupo: A Mixed-Initiative Authoring Tool for Responsive Visualization

Kim, Hyeok., Rossi, Ryan., Hullman, Jessica., Hoffswell, Jane. (Oct. 23, 2023)

IEEE VIS 2023

PaperToPlace: Transforming Instruction Documents into Spatialized and Context-Aware Mixed Reality Experiences

Chen, Chen., Nguyen, Cuong., Hoffswell, Jane., Healey, Jennifer., Bui, Trung., Weibel, Nadir. (Oct. 10, 2023)

ACM UIST 2023

WhatsNext: Guidance-enriched Exploratory Data Analysis with Interactive, Low-Code Notebooks

Chen, Chen., Hoffswell, Jane., Guo, Shunan., Rossi, Ryan., Chan, Gromit., Du, Fan., Koh, Eunyee., Liu, Leo. (Oct. 3, 2023)

IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)

Augmenting Visualizations with Predictive and Investigative Insights to Facilitate Decision Making

Rony, Md., Du, Fan., Rossi, Ryan., Hoffswell, Jane., Chhaya, Niyati., Burhanuddin, Iftikhar., Koh, Eunyee. (Apr. 30, 2023)

ACM Web Conference (WebConf)

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

Narechania, Arpit., Du, Fan., Sinha, Atanu., Rossi, Ryan., Hoffswell, Jane., Guo, Shunan., Koh, Eunyee., Navathe, Shamkant., Endert, Alex. (Apr. 23, 2023)

CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, April 2023

Let’s Get Personal: Exploring the Design of Personalized Visualizations

Bullock, Beleicia., Guo, Shunan., Koh, Eunyee., Rossi, Ryan., Du, Fan., Hoffswell, Jane. (Oct. 18, 2022)

IEEE VIS 2022 (short paper)

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

Gaba, Aimen., Setlur, Vidya., Srinivasan, Arjun., Hoffswell, Jane., Xiong, Cindy. (Oct. 18, 2022)

IEEE VIS 2022

ViSRE: A Unified Visual Analysis Dashboard for Proactive Cloud Outage Management

Kayongo, Paula., Hoffswell, Jane., Saini, Shiv., Garg, Shaddy., Koh, Eunyee., Wang, Haoliang., Jacobs, Tom. (Oct. 2, 2022)

IEEE Working Conference on Software Visualization (VISSOFT)

Cicero: A Declarative Grammar for Responsive Visualization

Kim, Hyeok., Rossi, Ryan., Du, Fan., Koh, Eunyee., Guo, Shunan., Hullman, Jessica., Hoffswell, Jane. (May. 2, 2022)

ACM CHI 2022

An Evaluation-Focused Framework for Visualization Recommendation Algorithms

Zeng, Zehua., Moh, Phoebe., Du, Fan., Hoffswell, Jane., Lee, Tak., Malik, Sana., Koh, Eunyee., Battle, Leilani. (Oct. 26, 2021)

Best Paper Honorable Mention

IEEE VIS 2021

Techniques for Flexible Responsive Visualization Design

Hoffswell, Jane., Li, Wilmot., Liu, Leo. (Apr. 27, 2020)

Best Paper

ACM CHI 2020

Interactive Repair of Tables Extracted from PDF Documents on Mobile Devices

Hoffswell, Jane., Liu, Leo. (May. 2, 2019)

ACM CHI 2019

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