Michelle Brachman, Amina El-Ashry, Casey Dugan, Werner Geyer. Current and Future Use of Large Language Models for Knowledge Work. Proceedings of the ACM on Human-Computer Interaction (CSCW).

Michelle Brachman, Siya Kunde, Sarah Miller, Ana Fucs, Samantha Dempsey, Jamie Jabbour, Werner Geyer. Building Appropriate Mental Models: What Users Know and Want to Know about an Agentic AI Chatbot. Proceedings of the 30th International Conference on Intelligent User Interfaces.

Michelle Brachman, Arielle Goldberg, Andrew Anderson, Stephanie Houde, Michael Muller, Justin D Weisz. Towards Personalized and Contextualized Code Explanations. Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization

**Best Paper** Werner Geyer, Jessica He, Daita Sarkar, Michelle Brachman, Chris Hammond, Jennifer Heins, Zahra Ashktorab, Carlos Rosemberg, Charlie Hill A Case Study Investigating the Role of Generative AI in Quality Evaluations of Epics in Agile Software Development. Proceedings of the 4th Annual Symposium on Human-Computer Interaction for Work

Michelle Brachman, Amina El-Ashry, Casey Dugan, Werner Geyer. How Knowledge Workers Use and Want to Use LLMs in an Enterprise Context. Extended Abstracts of the CHI Conference on Human Factors in Computing Systems

Michelle Brachman, Qian Pan, Hyo Jin Do, Casey Dugan, Arunima Chaudhary, J Johnson, Priyanshu Rai, Tathagata Chakraborti, Thomas Gschwind, Jim A Laredo, Christoph Miksovic Czasch, Paolo Scotton, Kartik Talamadupula, Gegi Thomas. Follow the Successful Herd: Towards Explanations for Improved Use and Mental Models of Natural Language Systems. Proceedings of the 30th International Conference on Intelligent User Interfaces

Michelle Brachman, Zahra Ashktorab, Michael Desmond, Evelyn Duesterwald, Casey Dugan, Narendra Nath Joshi, Qian Pan, Aabhas Sharma. Reliance and Automation for Human-AI Collaborative Data Labeling Conflict Resolution. Proceedings of the ACM on Human-Computer Interaction (CSCW)

**Best Paper** Gao Gao, Finn Voichick, Michelle Ichinco, and Caitlin Kelleher. Exploring Programmers' API Learning Processes: Collecting Web Resources as External Memory. 2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), Dunedin, New Zealand, 2020, pp. 1-10.

Michelle Ichinco and Caitlin Kelleher. Open-Ended Novice Programming Behaviors and their Implications for Supporting Learning . 2019 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), pp 45-53.

Caitlin Kelleher and Michelle Ichinco. Towards a Model of API Learning . 2019 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), pp 163 - 168.

Michelle Ichinco and Caitlin Kelleher. Semi-automatic suggestion generation for young novice programmers in an open-ended context . Proceedings of the 17th ACM Conference on Interaction Design and Children pp 405-412.

Michelle Ichinco, Wint Hnin, and Caitlin Kelleher. Suggesting API Usage to Novice Programmers with the Example Guru Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pp 1105-1117.

Michelle Ichinco and Caitlin Kelleher. Towards Better Code Snippets: Exploring How Code Snippet Recall Differs with Programming Experience IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), pp 37-41.

**Best Paper** Wint Hnin, Michelle Ichinco, and Caitlin Kelleher. An Exploratory Study of the Usage of Different Educational Resources in the Wild. IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), pp 181-189.