An Analysis of the Dialogic Complexities in Designing a Question/Answering Based Conversational Agent for Preschoolers. - Anuj Tewari; Ingrid Liu; Carrie J. Cai; John F. Canny (IVA, 2012)

Adapting arcade games for learning. - Carrie J. Cai (CHI Extended Abstracts, 2013)

Enhancing speech recognition in fast-paced educational games using contextual cues. - Carrie J. Cai; Robert C. Miller; Stephanie Seneff (SLaTE, 2013)

Wait-learning: leveraging conversational dead time for second language education. - Carrie J. Cai; Philip J. Guo; James R. Glass; Robert C. Miller (CHI Extended Abstracts, 2014)

Photographing information needs: the role of photos in experience sampling method-style research. - Zhen Yue; Eden Litt; Carrie J. Cai; Jeff Stern; Kathy K. Baxter; Zhiwei Guan; Nikhil Sharma; Guangqiang (George) Zhang (CHI, 2014)

Data-driven interaction techniques for improving navigation of educational videos. - Juho Kim 001; Philip J. Guo; Carrie J. Cai; Shang-Wen (Daniel) Li; Krzysztof Z. Gajos; Robert C. Miller (UIST, 2014)

Wait-Learning: Leveraging Wait Time for Second Language Education. - Carrie J. Cai; Philip J. Guo; James R. Glass; Robert C. Miller (CHI, 2015)

Wait-Learning: Leveraging Wait Time for Education. - Carrie J. Cai (UIST (Adjunct Volume), 2015)

Chain Reactions: The Impact of Order on Microtask Chains. - Carrie J. Cai; Shamsi T. Iqbal; Jaime Teevan (CHI, 2016)

Productivity Decomposed: Getting Big Things Done with Little Microtasks. - Jaime Teevan; Shamsi T. Iqbal; Carrie J. Cai; Jeffrey P. Bigham; Michael S. Bernstein; Elizabeth M. Gerber (CHI Extended Abstracts, 2016)

Learnersourcing Personalized Hints. - Elena L. Glassman; Aaron Lin; Carrie J. Cai; Robert C. Miller (CSCW, 2016)

WaitSuite: Productive Use of Diverse Waiting Moments. - Carrie J. Cai; Anji Ren; Robert C. Miller (ACM Trans. Comput. Hum. Interact., 2017)

Intelligent systems for making productive use of wait time. - Carrie J. Cai (2017)

Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV). - Been Kim; Martin Wattenberg; Justin Gilmer; Carrie J. Cai; James Wexler; Fernanda B. Viégas; Rory Sayres (ICML, 2018)

Human-Centered Tools for Coping with Imperfect Algorithms During Medical Decision-Making. - Carrie J. Cai; Emily Reif; Narayan Hegde; Jason D. Hipp; Been Kim; Daniel Smilkov; Martin Wattenberg; Fernanda B. Viégas; Gregory S. Corrado; Martin C. Stumpe; Michael Terry (CHI, 2019)

The effects of example-based explanations in a machine learning interface. - Carrie J. Cai; Jonas Jongejan; Jess Holbrook (IUI, 2019)

Software Developers Learning Machine Learning: Motivations, Hurdles, and Desires. - Carrie J. Cai; Philip J. Guo (VL/HCC, 2019)

Similar image search for histopathology: SMILY. - Narayan Hegde; Jason D. Hipp; Yun Liu 013; Michael Emmert-Buck; Emily Reif; Daniel Smilkov; Michael Terry; Carrie J. Cai; Mahul B. Amin; Craig H. Mermel; Philip Q. Nelson; Lily H. Peng; et al. (npj Digit. Medicine, 2019)

"Hello AI": Uncovering the Onboarding Needs of Medical Practitioners for Human-AI Collaborative Decision-Making. - Carrie J. Cai; Samantha Winter; David Steiner 004; Lauren Wilcox; Michael Terry (Proc. ACM Hum. Comput. Interact., 2019)

Novice-AI Music Co-Creation via AI-Steering Tools for Deep Generative Models. - Ryan Louie; Andy Coenen; Cheng Zhi Huang; Michael Terry; Carrie J. Cai (CHI, 2020)

Expert Discussions Improve Comprehension of Difficult Cases in Medical Image Assessment. - Mike Schaekermann; Carrie J. Cai; Abigail E. Huang; Rory Sayres (CHI, 2020)

Human-AI Co-Creation in Songwriting. - Cheng-Zhi Anna Huang; Hendrik Vincent Koops; Ed Newton-Rex; Monica Dinculescu; Carrie J. Cai (ISMIR, 2020)

Cococo: AI-Steering Tools for Music Novices Co-Creating with Generative Models. - Ryan Louie; Any Cohen; Cheng-Zhi Anna Huang; Michael Terry; Carrie J. Cai (HAI-GEN+user2agent@IUI, 2020)

AI Song Contest: Human-AI Co-Creation in Songwriting. - Cheng-Zhi Anna Huang; Hendrik Vincent Koops; Ed Newton-Rex; Monica Dinculescu; Carrie J. Cai (CoRR, 2020)

Breakdowns and Breakthroughs: Observing Musicians' Responses to the COVID-19 Pandemic. - Carrie J. Cai; Michelle Carney; Nida Zada; Michael Terry (CHI, 2021)

Onboarding Materials as Cross-functional Boundary Objects for Developing AI Assistants. - Carrie J. Cai; Samantha Winter; David Steiner 004; Lauren Wilcox; Michael Terry (CHI Extended Abstracts, 2021)

AI as Social Glue: Uncovering the Roles of Deep Generative AI during Social Music Composition. - Minhyang (Mia) Suh; Emily Youngblom; Michael Terry; Carrie J. Cai (CHI, 2021)

GenLine and GenForm: Two Tools for Interacting with Generative Language Models in a Code Editor. - Ellen Jiang; Edwin Toh; Alejandra Molina; Aaron Donsbach; Carrie J. Cai; Michael Terry (UIST (Adjunct Volume), 2021)

Program Synthesis with Large Language Models. - Jacob Austin; Augustus Odena; Maxwell I. Nye; Maarten Bosma; Henryk Michalewski; David Dohan; Ellen Jiang; Carrie J. Cai; Michael Terry; Quoc V. Le; Charles Sutton (CoRR, 2021)

PromptMaker: Prompt-based Prototyping with Large Language Models. - Ellen Jiang; Kristen Olson; Edwin Toh; Alejandra Molina; Aaron Donsbach; Michael Terry; Carrie J. Cai (CHI Extended Abstracts, 2022)

Discovering the Syntax and Strategies of Natural Language Programming with Generative Language Models. - Ellen Jiang; Edwin Toh; Alejandra Molina; Kristen Olson; Claire Kayacik; Aaron Donsbach; Carrie J. Cai; Michael Terry (CHI, 2022)

PromptChainer: Chaining Large Language Model Prompts through Visual Programming. - Tongshuang Wu; Ellen Jiang; Aaron Donsbach; Jeff Gray 001; Alejandra Molina; Michael Terry; Carrie J. Cai (CHI Extended Abstracts, 2022)

AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts. - Tongshuang Wu; Michael Terry; Carrie Jun Cai (CHI, 2022)

Social Simulacra: Creating Populated Prototypes for Social Computing Systems. - Joon Sung Park; Lindsay Popowski; Carrie J. Cai; Meredith Ringel Morris; Percy Liang; Michael S. Bernstein (UIST, 2022)

The Prompt Artists. - Minsuk Chang; Stefania Druga; Alexander J. Fiannaca; Pedro Vergani; Chinmay Kulkarni 001; Carrie J. Cai; Michael Terry (Creativity & Cognition, 2023)

Programming without a Programming Language: Challenges and Opportunities for Designing Developer Tools for Prompt Programming. - Alexander J. Fiannaca; Chinmay Kulkarni 001; Carrie J. Cai; Michael Terry (CHI Extended Abstracts, 2023)

PromptInfuser: Bringing User Interface Mock-ups to Life with Large Language Models. - Savvas Petridis; Michael Terry; Carrie Jun Cai (CHI Extended Abstracts, 2023)

Generative Agents: Interactive Simulacra of Human Behavior. - Joon Sung Park; Joseph C. O'Brien; Carrie Jun Cai; Meredith Ringel Morris; Percy Liang; Michael S. Bernstein (UIST, 2023)

A Word is Worth a Thousand Pictures: Prompts as AI Design Material. - Chinmay Kulkarni 001; Stefania Druga; Minsuk Chang; Alex Fiannaca; Carrie J. Cai; Michael Terry (CoRR, 2023)

The Design Space of Generative Models. - Meredith Ringel Morris; Carrie J. Cai; Jess Holbrook; Chinmay Kulkarni 001; Michael Terry (CoRR, 2023)

PromptInfuser: How Tightly Coupling AI and UI Design Impacts Designers' Workflows. - Savvas Petridis; Michael Terry; Carrie J. Cai (Conference on Designing Interactive Systems, 2024)

"We Need Structured Output": Towards User-centered Constraints on Large Language Model Output. - Michael Xieyang Liu; Frederick Liu; Alexander J. Fiannaca; Terry Koo; Lucas Dixon; Michael Terry; Carrie J. Cai (CHI Extended Abstracts, 2024)

ConstitutionMaker: Interactively Critiquing Large Language Models by Converting Feedback into Principles. - Savvas Petridis; Benjamin D. Wedin; James Wexler; Mahima Pushkarna; Aaron Donsbach; Nitesh Goyal; Carrie J. Cai; Michael Terry (IUI, 2024)

In Situ AI Prototyping: Infusing Multimodal Prompts into Mobile Settings with MobileMaker. - Savvas Petridis; Michael Xieyang Liu; Alexander J. Fiannaca; Vivian Tsai; Michael Terry; Carrie J. Cai (VL/HCC, 2024)

Generative Agent Simulations of 1,000 People. - Joon Sung Park; Carolyn Q. Zou; Aaron Shaw; Benjamin Mako Hill; Carrie J. Cai; Meredith Ringel Morris; Robb Willer; Percy Liang; Michael S. Bernstein (CoRR, 2024)

The Evolution of LLM Adoption in Industry Data Curation Practices. - Crystal Qian; Michael Xieyang Liu; Emily Reif; Grady Simon; Nada Hussein; Nathan Clement; James Wexler; Carrie J. Cai; Michael Terry; Minsuk Kahng (CoRR, 2024)

LLM Adoption in Data Curation Workflows: Industry Practices and Insights. - Crystal Qian; Michael Xieyang Liu; Emily Reif; Grady Simon; Nada Hussein; Nathan Clement; James Wexler; Carrie J. Cai; Michael Terry; Minsuk Kahng (CHI Extended Abstracts, 2025)

Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning. - Michael Xieyang Liu; Savvas Petridis; Vivian Tsai; Alexander J. Fiannaca; Alex Olwal; Michael Terry; Carrie J. Cai (IUI, 2025)