We use visualization as a petri dish to study intelligence augmentation: how can computation help amplify our cognition and creativity, while respecting our agency?
We develop languages and systems to make it easy for anyone to create common and custom interactive visualizations.
GoFish: A Grammar of More Graphics!
Josh Pollock, Arvind Satyanarayan
IEEE VIS 2025
Pluto: Authoring Semantically Aligned Text and Charts for Data-Driven Communication
Arjun Srinivasan, Vidya Setlur, Arvind Satyanarayan
ACM IUI 2025
Bluefish: Composing Diagrams with Declarative Relations
Josh Pollock, Catherine Mei, Grace Huang, Elliot Evans, Daniel Jackson, Arvind Satyanarayan
ACM UIST 2024
Umwelt: Accessible Structured Editing of Multi-Modal Data Representations
Jonathan Zong, Isabella Pedraza Pineros, Mengzhu (Katie) Chen, Daniel Hajas, Arvind Satyanarayan
ACM CHI 2024
Deimos: A Grammar of Dynamic Embodied Immersive Visualisation Morphs and Transitions
Benjamin Lee, Arvind Satyanarayan, Maxime Cordeil, Arnaud Prouzeau, Bernhard Jenny, Tim Dwyer
ACM CHI 2023
We study how visualizations and ML models function as social artifacts: signaling identities, shaping norms, and propagating misinformation.
Quantifying Visualization Vibes: Measuring Socio-Indexicality at Scale
Amy Fox, Michelle Morgenstern, Graham M. Jones, Arvind Satyanarayan
IEEE VIS 2025 · Best Paper Honorable Mention
Visualization Vibes: The Socio-Indexical Function of Visualization Design
Michelle Morgenstern, Amy Fox, Graham M. Jones, Arvind Satyanarayan
IEEE VIS 2025
Toward Cultural Interpretability: A Linguistic Anthropological Framework for Describing and Evaluating Large Language Models
Graham M. Jones, Shai Satran, Arvind Satyanarayan
BD&S 2025
Intelligence as Agency: Evaluating the Capacity of Generative AI to Empower or Constrain Human Action
Arvind Satyanarayan, Graham M. Jones
MIT GenAI Impact Papers 2024
Viral Visualizations: How Coronavirus Skeptics Use Orthodox Data Practices to Promote Unorthodox Science Online
Crystal Lee, Tanya Yang, Gabrielle Inchoco, Graham M. Jones, Arvind Satyanarayan
ACM CHI 2021 · Best Paper Honorable Mention
We design metrics and interfaces for visually analyzing ML models and for discovering how they align with human expectations.
Abstraction Alignment: Comparing Model-Learned and Human-Encoded Conceptual Relationships
Angie Boggust, Hyemin (Helen) Bang, Hendrik Strobelt, Arvind Satyanarayan
ACM CHI 2025
Toward Cultural Interpretability: A Linguistic Anthropological Framework for Describing and Evaluating Large Language Models
Graham M. Jones, Shai Satran, Arvind Satyanarayan
BD&S 2025
Explanation Alignment: Quantifying the Correctness of Model Reasoning At Scale
Hyemin (Helen) Bang, Angie Boggust, Arvind Satyanarayan
eXCV 2024
Saliency Cards: A Framework to Characterize and Compare Saliency Methods
Angie Boggust, Harini Suresh, Hendrik Strobelt, John V. Guttag, Arvind Satyanarayan
ACM FAccT 2023
Kaleidoscope: Semantically-grounded, Context-specific ML Model Evaluation
Harini Suresh, Divya Shanmugam, Tiffany Chen, Annie Bryan, Alexander D'Amour, John V. Guttag, Arvind Satyanarayan
ACM CHI 2023
Working with blind collaborators, we co-design non-visual data displays via alt text, screen readers, and tactile graphics.
Benthic: Perceptually Congruent Structures for Accessible Charts and Diagrams
Catherine Mei, Josh Pollock, Daniel Hajas, Jonathan Zong, Arvind Satyanarayan
ASSETS 2025
Tactile Vega-Lite: Rapidly Prototyping Tactile Charts with Smart Defaults
Mengzhu (Katie) Chen, Isabella Pedraza Pineros, Arvind Satyanarayan, Jonathan Zong
ACM CHI 2025
“Customization is Key”: Reconfigurable Content Tokens for Accessible Data Visualizations
Shuli Jones, Isabella Pedraza Pineros, Daniel Hajas, Jonathan Zong, Arvind Satyanarayan
ACM CHI 2024
Umwelt: Accessible Structured Editing of Multi-Modal Data Representations
Jonathan Zong, Isabella Pedraza Pineros, Mengzhu (Katie) Chen, Daniel Hajas, Arvind Satyanarayan
ACM CHI 2024
VisText: A Benchmark for Semantically Rich Chart Captioning
Benny J. Tang, Angie Boggust, Arvind Satyanarayan
ACL 2023 · Outstanding Paper Award
We prototype novel interaction paradigms that fluidly mix structures and semantics to offer more malleable experiences.
Something In Between Formal Spec and Informal Representation
Ryan Yen, Josh Pollock, Caroline Berger, Arvind Satyanarayan
Tools for Thought Workshop 2025
Charting EDA: Characterizing Interactive Visualization Use in Computational Notebooks with a Mixed-Methods Formalism
Dylan Wootton, Amy Fox, Evan Peck, Arvind Satyanarayan
IEEE VIS 2024
Intelligence as Agency: Evaluating the Capacity of Generative AI to Empower or Constrain Human Action
Arvind Satyanarayan, Graham M. Jones
MIT GenAI Impact Papers 2024
Designing for Semi-formal Programming with Foundation Models
Josh Pollock, Ian Arawjo, Caroline Berger, Arvind Satyanarayan
PLATEAU 2024
Heuristics for Supporting Cooperative Dashboard Design
Vidya Setlur, Michael Correll, Arvind Satyanarayan, Melanie Tory
IEEE VIS 2023
2025-08-15
It’s going to be a jam-packed Fall with Benthic at ASSETS, FabObscura at UIST, and GoFish, Visualization Vibes, and (honorable-mention-winning!) Quantifying Visualization Vibes at VIS!!
2025-07-01
Arvind was promoted to Associate Professor (with tenure!).
2025-04-25
It’s a busy spring with a paper on Cultural Interpretability; Pluto at IUI; Abstraction Alignment and Tactile Vega-Lite at CHI; and an update on semi-formal programming.
2024-06-25
Huge congratulations to Dr. Jonathan Zong for presenting a terrific defense of his dissertation on “Participation and Power in Data Collection and Analysis”.
2024-05-05
It’s been a busy spring with a new white paper on agency with GenAI, and two CHI ‘24 papers on customizable accessibility and authoring multimodal data representations.
2023-06-09
Two papers this summer: Saliency Cards at ACM FAccT 2023 and VisText at ACL 2023. VisText was recognized with an Outstanding Paper Award.
2023-05-08
Arvind gave a seminar talk at Stanford on Intelligence Augmentation through the Lens of Interactive Data Visualizing, reflecting on the group’s work in the context of large language models.
2023-04-24
Two papers at CHI 2023: Kaleidoscope for semantically-grounded context-specific evaluation of ML models; and Deimos, a grammar for visualization morphs in immersive environments.
Matt
Visiting PhD Researcher
Angie
PhD Researcher
Camelia
Visiting PhD Researcher
Ryan
PhD Researcher
Hyemin
MEng Researcher
Amber
Postdoctoral Researcher
Dylan
PhD Researcher
Ticha
PhD Researcher
Zoe
PhD Researcher
Caroline
Visiting PhD Researcher
Josh
PhD Researcher
Cynthia
Administrative Assistant
Arvind
Associate Professor
Nathalie Vladis
Postdoctoral Researcher
Harini Suresh
PhD Researcher
⤷ Faculty at Brown CS
Amy Fox
Postdoctoral Researcher
⤷ Faculty at UCSD CogSci
Alan Lundgard
PhD Researcher (On Leave)
⤷ UXD at Stanford Libraries
Vineet Pandey
Postdoctoral Researcher
⤷ Faculty at Utah CS
Evan Peck
Visiting Scientist
Crystal Lee
PhD Researcher
⤷ Faculty at MIT CMS/W
Daniel Hajas
Visiting Scientist
Jonathan Zong
PhD Researcher
⤷ Faculty at CU Boulder InfoSci
JiWoong (Joon) Jang
Research Intern
Houssam Kherraz
MEng Researcher
Wonyoung So
SM Researcher
⤷ PhD Student at MIT DUSP
Allen Lee
Undergraduate Researcher
Nicolás Kennedy
Research Intern
Isabella Pedraza Pineros
MEng Researcher
Sovesh Mohapatra
Research Intern
Rupayan Neogy
MEng Researcher
Katie Bacher
MEng Researcher
Shuli Jones
MEng Researcher
Tiffany Chen
Undergraduate Researcher
Siyoung Kim
Undergraduate Researcher
Dhiraj Barnwal
Research Intern
Katherine Huang
Undergraduate Researcher
Sophia Zheng
MEng Researcher
Mengzhu (Katie) Chen
SM Researcher
Catherine Mei
MEng Researcher
Soomin Chun
Undergraduate Researcher
Benny J. Tang
SM Researcher
Anna Meurer
Undergraduate Researcher
Anna Arpaci-Dusseau
Undergraduate Researcher
Tanya Yang
Undergraduate Researcher
Helena Vasconcelos
Research Intern
⤷ PhD Student at Harvard CS
Ebenezer "EJ" Sefah
MEng Researcher
Matt Blanco
Undergraduate Researcher
Annie Bryan
Undergraduate Researcher
Mateo Monterde
Undergraduate Researcher
Esther Kinyanjui
Undergraduate Researcher
Grace Huang
MEng Researcher
Lydia Patterson
MEng Researcher
Nava Haghighi
SM Researcher
⤷ PhD Student at Stanford CS
Hello from Cambridge, MA!