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Submission: On October 23 via api from US — Scanned from DE
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CMU DIG About Team Publications News GitHub Mastodon CMU DATA INTERACTION GROUP We are a research group at the Human-Computer Interaction Institute at Carnegie Mellon University. Our mission is to empower everyone to analyze and communicate data with interactive systems. LEARN MORE ABOUT OUR GROUP RESEARCH AREAS Our group conducts research in computer science at the intersection of human-computer interaction, machine learning, data science, programming languages, and data management. VISUALIZATION Visualization leverages human perception to make (potentially large) data accessible. We are developing new languages and tools for analysis and communication. HUMAN-CENTERED DATA SCIENCE While computers can help us manage data, human judgment and domain expertise is what turns it into understanding. Meeting the challenges of increasingly large and complex data requires methods that richly integrate the capabilities of both people and machines. INTERPRETABLE MACHINE LEARNING Machine learning allows data scientists to summarize, aggregate, and make predictions about their data. But computers don't explain their predictions, which limits interpretability and actionable insights. We create techniques and systems that make models and their decisions understandable. DESIGN FOR MACHINE LEARNING To create ML-based applications, we need to understand and design for everyone involved in the development process—the engineers who build the models, the designers who create the experiences, and the people who use the products. NEWS * DIG Lab at VIS 2023 Oct 2023 * Workshop: Tactile Graphics Tech and Media Oct 2022 * DIG Lab at VIS 2022 Oct 2022 * DIG Lab at EuroVis 2022 Jun 2022 * DIG Lab at CHI 2022 Apr 2022 Show all COURSES * Data Science for Product Managers Spring 2023 * HCI for Product Managers Spring 2023 * Data Visualization Fall 2022 * Interactive Data Science Spring 2022 * Data Visualization Fall 2021 * Interactive Data Science Spring 2021 * Interactive Data Science Fall 2020 * Data Visualization Fall 2019 * Data Science and Visualization Spring 2019 * Interpretable Machine Learning Spring 2019 * Interactive Data Science Fall 2018 PARTICIPATE Interested in sharing your expertise with us? Check out our ongoing research studies with visualization, machine learning, and data science practitioners! Learn More RECENT PUBLICATIONS Show all Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning Ángel Alexander Cabrera, Erica Fu, Donald Bertucci, Kenneth Holstein, Ameet Talwalkar, Jason I. Hong, Adam Perer, CHI 2023 Show details Too Many Cooks: Exploring How Graphical Perception Studies Influence Visualization Recommendations in Draco Zehua Zeng, Junran Yang, Dominik Moritz, Jeffrey Heer, Leilani Battle, VIS 2023 Show details Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care Venkat Sivaraman, Leigh A. Bukowski, Joel Levin, Jeremy M. Kahn, Adam Perer, CHI 2023 Show details Shared Interest...Sometimes: Understanding the Alignment between Human Perception, Vision Architectures, and Saliency Map Techniques Katelyn Morrison, Ankita Mehra, Adam Perer, XAI4CV Workshop at IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2023 Show details A Declarative Specification for Authoring Metrics Dashboards Will Epperson, Kanit Wongsuphasawat, Allison Whilden, Fan Du, Justin Talbot, VDS at VIS 2023 Best Paper Show details Mosaic: An Architecture for Scalable & Interoperable Data Views Jeffrey Heer, Dominik Moritz, VIS 2023 Show details Average Estimates in Line Graphs are Biased Toward Areas of Higher Variability Dominik Moritz, Lace Padilla, Francis Nguyen, Steven Franconeri, VIS 2023 Best Paper Honorable Mention Show details Show all Hello from Pittsburgh. Come join us! Edit this page We are at @cmudig@hci.social and @cmudig. Our lab is in NSH A408. October 2023 LINKS * Human-Computer Interaction Institute * School of Computer Science * Carnegie Mellon University