Recent Publications
Vipera: Blending Visual and LLM-Driven Guidance for Systematic Auditing of Text-to-Image Generative AI
Yanwei Huang, Wesley Hanwen Deng, Sijia Xiao, Motahhare Eslami, Jason Hong, Arpit Narechania, Adam Perer, CHI 2026
It's Not Just for Trust: Designing for Emerging Uses of Explainable AI in Clinical Decision-Making
Katelyn Morrison, Zexuan Li, Minsuk Kim, Chengqi (Malia) Hong, Jidapa Kraisangka, Priscilla Correa-Jaque, Charles Fauvel, Sandeep Sahay, Rebecca R. Vanderpool, Allen Everett, Shili Lin, Manreet Kanwar, Raymond Benza, Adam Perer, ACM HEALTH 2026
Intelligent Reasoning Cues: A Framework and Case Study of the Roles of AI Information in Complex Decisions
Venkat Sivaraman, Eric Mason, Mengfan Ellen Li, Jessica Tong, Andrew King, Jeremy Kahn, Adam Perer, CHI 2026
Tempo: Helping Data Scientists and Domain Experts Collaboratively Specify Predictive Modeling Tasks
Venkat Sivaraman, Anika Vaishampayan, Xiaotong Li, Brian R Buck, Ziyong Ma, Richard D Boyce, Adam Perer, CHI 2025
StructVizor: Interactive Profiling of Semi-Structured Textual Data
Yanwei Huang, Yan Miao, Di Weng, Adam Perer, Yingcai Wang, CHI 2025
Static Algorithm, Evolving Epidemic: Understanding the Potential of Human-AI Risk Assessment to Support Regional Overdose Prevention
Venkat Sivaraman, Yejun Kwak, Courtney Kuza, Qingnan Yang, Kayleigh Adamson, Katie Suda, Lu Tang, Walid Gellad, Adam Perer, CSCW 2025
Divisi: Interactive Search and Visualization for Scalable Exploratory Subgroup Analysis
Venkat Sivaraman, Zexuan (Zx) Li, Adam Perer, CHI 2025
Trust Junk and Evil Knobs: Calibrating Trust in AI Visualization
Emily Wall, Laura Matzen, Mennatallah El-Assady, Peta Masters, Helia Hosseinpour, Alex Endert, Rita Borgo, Polo Chau, Adam Perer, Harald Schupp, Hendrik Strobelt, Lace Padilla, PacificVis 2024
Transparency in the Wild: Navigating Transparency in a Deployed AI System to Broaden Need-Finding Approaches
Violet Turri, Katelyn Morrison, Katie Robinson, Collin Abidi, Adam Perer, Jodi Forlizzi, Rachel Dzombak, FAccT 2024
Sketching AI Concepts with Capabilities and Examples: AI Innovation in the Intensive Care Unit
Nur Yildirim, Susanna Zlotnikov, Deniz Sayar, Jeremy Kahn, Leigh Bukowski, Sher Shah Amin, Kathryn Riman, Billie Davis, John Minturn, Andrew King, Dan Ricketts, Lu Tang, Venkat Sivaraman, Adam Perer, Sarah Preum, James McCann, John Zimmerman, CHI 2024
MedSyn: Text-Guided Anatomy-Aware Synthesis of High-Fidelity 3-D CT Images
Yanwu Xu, Li Sun, Wei Peng, Shuyue Jia, Katelyn Morrison, Adam Perer, Afrooz Zandifar, Shyam Visweswaran, Motahhare Eslami, Kayhan Batmanghelich, IEEE Medical Imaging 2024
The Impact of Imperfect XAI on Human-AI Decision-Making
Katelyn Morrison, Philipp Spitzer, Violet Turri, Michelle Feng, Niklas Kühl, Adam Perer, CSCW 2024
Guided Statistical Workflows with Interactive Explanations and Assumption Checking
Yuqi Zhang, Adam Perer, Will Epperson, VIS 2024
Counterpoint: Orchestrating Large-Scale Custom Animated Visualizations
Venkat Sivaraman, Frank Elavsky, Dominik Moritz, Adam Perer, VIS 2024
How Consistent are Clinicians? Evaluating the Predictability of Sepsis Disease Progression with Dynamics Models
Unn Seo (Grace) Park, Venkat Sivaraman, Adam Perer, Time Series for Health at ICLR 2024
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
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
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
Evaluating the Impact of Human Explanation Strategies on Human-AI Visual Decision-Making
Katelyn Morrison, Donghoon Shin, Kenneth Holstein, Adam Perer, CSCW 2023
Eye into AI: Evaluating the Interpretability of Explainable AI Techniques through a Game With a Purpose
Katelyn Morrison, Mayank Jain, Jessica Hammer, Adam Perer, CSCW 2023
Combining Degree of Interest Functions and Progressive Visualization
Marius Hogräfer, Dominik Moritz, Adam Perer, Hans-Jörg Schulz, VIS 2023
Improving Human-AI Collaboration with Descriptions of AI Behavior
Ángel Alexander Cabrera, Adam Perer, Jason I. Hong, CSCW 2023
Dead or Alive: Continuous Data Profiling for Interactive Data Science
Will Epperson, Vaishnavi Gorantla, Dominik Moritz, Adam Perer, VIS 2023
Leveraging Analysis History for Improved In Situ Visualization Recommendation
Will Epperson, Doris Jung-Lin Lee, Leijie Wang, Kunal Agarwal, Aditya Parameswaran, Dominik Moritz, Adam Perer, EuroVis 2022
Emblaze: Illuminating Machine Learning Representations through Interactive Comparison of Embedding Spaces
Venkat Sivaraman, Yiwei Wu, Adam Perer, IUI 2022
What Did My AI Learn? How Data Scientists Make Sense of Model Behavior
Ángel Alexander Cabrera, Marco Tulio Ribeiro, Bongshin Lee, Robert DeLine, Adam Perer, Steven M. Drucker, TOCHI 2022
Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support
Anna Kawakami, Venkat Sivaraman, Hao-Fei Cheng, Logan Stapleton, Yanghuidi Cheng, Diana Qing, Adam Perer, Zhiwei Steven Wu, Haiyi Zhu, Kenneth Holstein, CHI 2022
How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions
Hao-Fei Cheng, Logan Stapleton, Anna Kawakami, Venkat Sivaraman, Yanghuidi Cheng, Diana Qing, Adam Perer, Kenneth Holstein, Zhiwei Steven Wu, Haiyi Zhu, CHI 2022
"Why Do I Care What's Similar?" Probing Challenges in AI-Assisted Child Welfare Decision-Making through Worker-AI Interface Design Concepts
Anna Kawakami, Venkat Sivaraman, Logan Stapleton, Hao-Fei Cheng, Adam Perer, Zhiwei Steven Wu, Haiyi Zhu, Kenneth Holstein, DIS 2022
TextEssence: A Tool for Interactive Analysis of Semantic Shifts Between Corpora
Denis Newman-Griffis, Venkat Sivaraman, Adam Perer, Eric Fosler-Lussier, Harry Hochheiser, NAACL 2021
Characterizing Human Explanation Strategies to Inform the Design of Explainable AI for Building Damage Assessment
Donghoon Shin, Sachin Grover, Kenneth Holstein, Adam Perer, AI for HADR at NeurIPS 2021
Discovering and Validating AI Errors With Crowdsourced Failure Reports
Ángel Alexander Cabrera, Abraham Druck, Jason I. Hong, Adam Perer, CSCW 2021
Regularizing Black-box Models for Improved Interpretability
Gregory Plumb, Mauran Al-Shedivat, Ángel Alexander Cabrera, Adam Perer, Eric Xing, Ameet Talwalkar, NeurIPS 2020
Designing Alternative Representations of Confusion Matrices to Support Non-Expert Public Understanding of Algorithm Performance
Hong Shen, Haojian Jin, Ángel Alexander Cabrera, Adam Perer, Haiyi Zhu, Jason I. Hong, CSCW 2020
Getting Playful with Explainable AI: Games with a Purpose to Improve Human Understanding of AI
Laura Beth Fulton, Ja Young Lee, Qian Wang, Zhendong Yuan, Jessica Hammer, Adam Perer, CHI 2020
Confronting data sparsity to identify potential sources of Zika virus spillover infection among primates
Barbara Han, Subhabrata Majumdar, Flavio Calmon, Benjamin Glicksberg, Raya Horesh, Abhishek Kumar, Adam Perer, Elisa von Marschall, Dennis Wei, Aleksandra Mojsilović, Kush Varshney, Epidemics 2019
SearchLens: Composing and Capturing Complex User Interests for Exploratory Search
Joseph Chee Chang, Nathan Hahn, Adam Perer, Aniket Kittur, IUI 2019
Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures
Dylan Cashman, Adam Perer, Remco Chang, Hendrik Strobelt, VAST 2019
MAST: A Tool for Visualizing CNN Model Architecture Searches
Dylan Cashman, Adam Perer, Hendrik Strobelt, Debugging Machine Learning Models at ICLR 2019
The Human User in Progressive Visual Analytics
Luana Micallef, Hans-Jorg Schulz, Marco Angelini, Michael Aupetit, Remco Chang, Jorn Kohlhammer, Adam Perer, Giuseppe Santucci, EuroVis 2019
A User Study on the Effect of Aggregating Explanations for Interpreting Machine Learning Models
Josua Krause, Adam Perer, Enrico Bertini, IDEA at KDD 2018
Seq2Seq-VIS : A Visual Debugging Tool for Sequence-to-Sequence Models
Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch, Adam Perer, Hanspeter Pfister, Alexander Rush, VAST 2018
Coping with Volume and Variety in Temporal Event Sequences: Strategies for Sharpening Analytic Focus
Fan Du, Ben Shneiderman, Catherine Plaisant, Sana Malik, Adam Perer, IEEE Transactions on Visualization and Computer Graphics 2017
Clustervision: Visual Supervision of Unsupervised Clustering
Bum Chul Kwon, Ben Eysenbach, Janu Verma, Kenney Ng, Christopher deFilippi, Walter Stewart, Adam Perer, VAST 2017
Interacting with Predictions: Visual Inspection of Black-box Machine Learning Models
Josua Krause, Adam Perer, Kenney Ng, CHI 2016
Mining and exploring care pathways from electronic medical records with visual analytics
Adam Perer, Fei Wang, Jianying Hu, Journal of Biomedical Informatics 2015
Data Driven Analytics for Personalized Healthcare
Jianying Hu, Adam Perer, Fei Wang, Healthcare Information Management Systems, Cases Strategies, and Solutions 2015
Supporting Iterative Cohort Construction with Visual Temporal Queries
Josua Krause, Adam Perer, Harry Stavropoulos, VAST 2015
Progressive Visual Analytics: User-Driven Visual Exploration of In-Progress Analytics
Charles Stolper, Adam Perer, David Gotz, VAST 2014
Orion: A System for Modeling, Transformation and Visualization of Multi-dimensional Heterogeneous Networks
Jeffrey Heer, Adam Perer, Information Visualization 2014
INFUSE: Interactive Feature Selection for Predictive Modeling of High Dimensional Data
Josua Krause, Adam Perer, Enrico Bertini, VAST 2014
Predicting changes in hypertension control using electronic health records from a chronic disease management program
Jimeng Sun, Candace McNaughton, Ping Zhang, Adam Perer, Aris Gkoulalas-Divanis, Joshua Denny, Jacqueline Kirby, Thomas Lasko, Alexander Saip, Bradley Malin, Journal of American Medical Informatics Association 2014
Frequence: Interactive Mining and Visualization of Temporal Frequent Event Sequences
Adam Perer, Fei Wang, IUI 2014
A Methodology for Interactive Mining and Visual Analysis of Clinical Event Patterns using Electronic Health Record Data
David Gotz, Fei Wang, Adam Perer, Journal of Biomedical Informatics 2014
Iterative cohort analysis and exploration
Zhiyuan Zhang, David Gotz, Adam Perer, Information Visualization 2014
The Longitudinal Use of SaNDVis: Visual Social Network Analytics in the Enterprise
Adam Perer, Ido Guy, Erel Uziel, Inbal Ronen, Michal Jacovi, IEEE TVCG 2013
Data-Driven Exploration of Care Plans for Patients
Adam Perer, David Gotz, CHI 2013
MatrixFlow: Temporal Network Visual Analytics to Track Symptom Evolution during Disease Progression
Adam Perer, Jimeng Sun, American Medical Informatics Association Annual Symposium 2012
Diversity among Enterprise Online Communities: Collaborating, Teaming, and Innovating through Social Media
Michael Muller, Kate Ehrlich, Tara Matthews, Adam Perer, Inbal Ronen, Ido Guy, ACM Conference on Human Factors in Computing Systems 2012
Do You Want to Know? Recommending Strangers in the Enterprise
Ido Guy, Sigalit Ur, Inbal Ronen, Adam Perer, Michal Jacovi, ACM Conference of Computer Supported Cooperative Work 2011
Visual Social Network Analytics for Relationship Discovery in the Enterprise
Adam Perer, Ido Guy, Erel Uziel, Inbal Ronen, Michal Jacovi, VAST 2011
Orion: A System for Modeling, Transformation and Visualization of Multi-dimensional Heterogeneous Networks
Jeffrey Heer, Adam Perer, VAST 2011
Guess Who? Enriching the Social Graph through a Crowdsourcing Game
Ido Guy, Adam Perer, Tal Daniel, Ohad Greenshpan, Itai Turbahn, ACM Conference on Human Factors in Computing Systems 2011
Integrating Querying and Browsing in Partial Graph Visualizations
Adam Perer, Frank van Ham, IBM Technical Report 2011
Digital Traces of Interest: Deriving Interest Relationships from Social Media Interactions
Michal Jacovi, Ido Guy, Adam Perer, Inbal Ronen, Erel Uziel, Michael Maslenko, European Conference on Computer-Supported Cooperative Work 2011
Same Places, Same Things, Same People? Mining User Similarity on Social Media
Ido Guy, Michal Jacovi, Adam Perer, Inbal Ronen, Erel Uziel, ACM Conference of Computer Supported Cooperative Work 2010
Finding Beautiful Insights in the Chaos of Social Network Visualizations
Adam Perer, Beautiful Visualization 2010
Integrating Statistics and Visualization for Exploratory Power: From Long-Term Case Studies to Design Guidelines
Adam Perer, Ben Shneiderman, IEEE Computer Graphics and Applications 2009
Analyzing (Social Media) Networks with NodeXL
Marc A. Smith, Ben Shneiderman, Natasha Milic-Frayling, Eduarda Rodrigues, Vladimir Barash, Cody Dunne, Tony Capone, Adam Perer, Eric Gleave, International Conference on Communities and Technologies 2009
Search, Show Context, Expand on Demand: Supporting Large Graph Exploration with Degree-of-Interest
Frank van Ham, Adam Perer, IEEE InfoVis 2009
Systematic Yet Flexible Discovery: Guiding Domain Experts Through Exploratory Data Analysis
Adam Perer, Ben Shneiderman, IUI 2008
Integrating Statistics and Visualization: Case Studies of Gaining Clarity During Exploratory Data Analysis
Adam Perer, Ben Shneiderman, CHI 2008
Balancing Systematic and Flexible Exploration of Social Networks
Adam Perer, Ben Shneiderman, IEEE InfoVis 2006
Using rhythms of relationships to understand e-mail archives
Adam Perer, Ben Shneiderman, Douglas Oard, Journal of the American Society for Information Science and Technology 2006
Contrasting portraits of email practices: visual approaches to reflection and analysis
Adam Perer, Marc A. Smith, International Conference on Advanced Visual Interfaces 2006