Semi-Automated Data Labeling. - Michael Desmond; Evelyn Duesterwald; Kristina Brimijoin; Michelle Brachman; Qian Pan (NeurIPS (Competition and Demos), 2020)

Increasing the Speed and Accuracy of Data Labeling Through an AI Assisted Interface. - Michael Desmond; Michael J. Muller; Zahra Ashktorab; Casey Dugan; Evelyn Duesterwald; Kristina Brimijoin; Catherine Finegan-Dollak; Michelle Brachman; Aabhas Sharma; Narendra Nath Joshi; Qian Pan (IUI, 2021)

Increasing the Speed and Accuracy of Data LabelingThrough an AI Assisted Interface. - Michael Desmond; Zahra Ashktorab; Michelle Brachman; Kristina Brimijoin; Evelyn Duesterwald; Casey Dugan; Catherine Finegan-Dollak; Michael J. Muller; Narendra Nath Joshi; Qian Pan; Aabhas Sharma (CoRR, 2021)

AI-Assisted Human Labeling: Batching for Efficiency without Overreliance. - Zahra Ashktorab; Michael Desmond; Josh Andres; Michael J. Muller; Narendra Nath Joshi; Michelle Brachman; Aabhas Sharma; Kristina Brimijoin; Qian Pan; Christine T. Wolf; Evelyn Duesterwald; Casey Dugan; et al. (Proc. ACM Hum. Comput. Interact., 2021)

A Goal-Driven Natural Language Interface for Creating Application Integration Workflows. - Michelle Brachman; Christopher Bygrave; Tathagata Chakraborti; Arunima Chaudhary; Zhining Ding; Casey Dugan; David Gros; Thomas Gschwind; James M. Johnson; Jim Laredo; Christoph Miksovic; Qian Pan; et al. (AAAI, 2022)

AI Assisted Data Labeling with Interactive Auto Label. - Michael Desmond; Michelle Brachman; Evelyn Duesterwald; Casey Dugan; Narendra Nath Joshi; Qian Pan; Carolina Spina (AAAI, 2022)

Reliance and Automation for Human-AI Collaborative Data Labeling Conflict Resolution. - Michelle Brachman; Zahra Ashktorab; Michael Desmond; Evelyn Duesterwald; Casey Dugan; Narendra Nath Joshi; Qian Pan; Aabhas Sharma (Proc. ACM Hum. Comput. Interact., 2022)

SME-in-the-loop: Interaction Preferences when Supervising Bots in Human-AI Communities. - Zahra Ashktorab; Michael Desmond; James M. Johnson; Qian Pan; Casey Dugan; Michelle Brachman; Carolina Spina (Conference on Designing Interactive Systems, 2023)

Follow the Successful Herd: Towards Explanations for Improved Use and Mental Models of Natural Language Systems. - Michelle Brachman; Qian Pan; Hyo Jin Do; Casey Dugan; Arunima Chaudhary; James M. Johnson; Priyanshu Rai; Tathagata Chakraborti; Thomas Gschwind; Jim Alain Laredo; Christoph Miksovic; Paolo Scotton; et al. (IUI, 2023)

A sensemaking analysis of API learning using React. - Caitlin Kelleher; Michelle Brachman (J. Comput. Lang., 2023)

How Knowledge Workers Use and Want to Use LLMs in an Enterprise Context. - Michelle Brachman; Amina H. El-Ashry; Casey Dugan; Werner Geyer (CHI Extended Abstracts, 2024)

Exploring Prompt Engineering Practices in the Enterprise. - Michael Desmond; Michelle Brachman (CoRR, 2024)

Design and Evaluation of Camera-Centric Mobile Crowdsourcing Applications. - Abby Stylianou; Michelle Brachman; Albatool Wazzan; Samuel Black; Richard Souvenir (CoRR, 2024)

Emerging Reliance Behaviors in Human-AI Text Generation: Hallucinations, Data Quality Assessment, and Cognitive Forcing Functions. - Zahra Ashktorab; Qian Pan; Werner Geyer; Michael Desmond; Marina Danilevsky; James M. Johnson; Casey Dugan; Michelle Brachman (CoRR, 2024)

Grounding with Structure: Exploring Design Variations of Grounded Human-AI Collaboration in a Natural Language Interface. - Hyo Jin Do; Michelle Brachman; Casey Dugan; James M. Johnson; Julia Lauer; Priyanshu Rai; Qian Pan (Proc. ACM Hum. Comput. Interact., 2024)

Evaluating What Others Say: The Effect of Accuracy Assessment in Shaping Mental Models of AI Systems. - Hyo Jin Do; Michelle Brachman; Casey Dugan; Qian Pan; Priyanshu Rai; James M. Johnson; Roshni Thawani (Proc. ACM Hum. Comput. Interact., 2024)

"The Diagram is like Guardrails": Structuring GenAI-assisted Hypotheses Exploration with an Interactive Shared Representation. - Zijian Ding; Michelle Brachman; Joel Chan; Werner Geyer (Creativity & Cognition, 2025)

Emerging Reliance Behaviors in Human-AI Content Grounded Data Generation: The Role of Cognitive Forcing Functions and Hallucinations. - Zahra Ashktorab; Michael Desmond; Qian Pan; James Johnson; Michelle Brachman; Casey Dugan; Marina Danilevsky; Werner Geyer (CHIWORK, 2025)

A Case Study Investigating the Role of Generative AI in Quality Evaluations of Epics in Agile Software Development. - Werner Geyer; Jessica He; Daita Sarkar; Michelle Brachman; Chris Hammond; Jennifer Heins; Zahra Ashktorab; Carlos Rosemberg; Charlie Hill (CHIWORK, 2025)

Designing conversational agent(ic) systems. - Heloisa Candello; Michelle Brachman (CUI, 2025)

Building Appropriate Mental Models: What Users Know and Want to Know about an Agentic AI Chatbot. - Michelle Brachman; Siya Kunde; Sarah Miller; Ana Fucs; Samantha Dempsey; Jamie Jabbour; Werner Geyer (IUI, 2025)

Structuring GenAI-assisted Hypotheses Exploration with an Interactive Shared Representation. - Zijian Ding; Michelle Brachman; Joel Chan; Werner Geyer (IUI Companion, 2025)

MetricMate: An Interactive Tool for Generating Evaluation Criteria for LLM-as-a-Judge Workflow. - Simret Araya Gebreegziabher; Charles Chiang; Zichu Wang; Zahra Ashktorab; Michelle Brachman; Werner Geyer; Toby Jia-Jun Li; Diego Gómez-Zará (IUI Workshops, 2025)

ACE: Moving toward Co-Investigation with the Agentic Code Explorer. - Darío Andrés Silva Moran; Kristina Brimijoin; Gabriel Enrique Gonzalez; Stephanie Houde; Michael J. Muller; Michelle Brachman; Justin D. Weisz (IUI Workshops, 2025)

Towards Personalized and Contextualized Code Explanations. - Michelle Brachman; Arielle Goldberg; Andrew Anderson 002; Stephanie Houde; Michael J. Muller; Justin D. Weisz (UMAP (Adjunct Publication), 2025)

Current and Future Use of Large Language Models for Knowledge Work. - Michelle Brachman; Amina H. El-Ashry; Casey Dugan; Werner Geyer (CoRR, 2025)