Carrie Jun Cai
My research aims to make artificial intelligence systems usable to human beings, so that human-AI interactions are more productive, enjoyable, and fair. I believe AI systems should be designed to augment human agency, and thus approach this process by considering the capabilities and limits of human intelligence. Before joining Google, I did my PhD research in the User Interface Design group at MIT, where I built "wait-learning" tools to help people practice desired skills in short chunks while waiting, thereby making use of fleeting moments in the day.
Authored Publications
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Google
"We Need Structured Output": Towards User-centered Constraints on Large Language Model Output
Michael Xieyang Liu
Frederick Liu
Alex Fiannaca
Terry Koo
In Extended Abstract in ACM CHI Conference on Human Factors in Computing Systems (CHI EA '24), ACM (2024), pp. 9 (to appear)
PromptInfuser: Bringing User Interface Mock-ups to Life with Large Language Model Prompts
Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery (to appear)
The Prompt Artists
Stefania Druga
Alex Fiannaca
Pedro Vergani
Chinmay Kulkarni
Creativity and Cognition 2023 (2023)
Generative Agents: Interactive Simulacra of Human Behavior
Joon Sung Park
Joseph C. O'Brien
Percy Liang
Michael Bernstein
Proceedings of UIST 2023, ACM (2023)
Programming with a Programming Language: Challenges and Opportunities for Designing Developer Tools for Prompt Programming
Alex Fiannaca
Chinmay Kulkarni
Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI EA ’23), ACM, Hamburg, Germany (2023) (to appear)
The Design Space of Generative Models
Jess Scon Holbrook
Chinmay Kulkarni
NeurIPS 2022 Human-Centered AI Workshop (2022) (to appear)
Social Simulacra: Creating Populated Prototypes for Social Computing Systems
Joon Sung Park
Lindsay Popowski
Percy Liang
Michael S. Bernstein
Proceedings of UIST 2022, ACM (2022) (to appear)
Discovering the Syntax and Strategies of Natural Language Programming with Generative Language Models
Aaron Michael Donsbach
Edwin Toh
Ellen Jiang
CHI (2022)
Prompt-based Prototyping with Large Language Models
Ellen Jiang
Edwin Toh
Aaron Michael Donsbach
ACM CHI case study track (2022)
Onboarding Materials as Cross-functional Boundary Objects for Developing AI Assistants
Lauren Wilcox
Samantha Winter
Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems, ACM (2021) (to appear)
