Canvil: Designerly Adaptation for LLM-Powered User Experiences

Canvil: Designerly Adaptation for LLM-Powered User Experiences

17 January 2024

K. J. Kevin Feng

Jennifer Wortman Vaughan

Amy X. Zhang

David W. McDonald

Papers citing "Canvil: Designerly Adaptation for LLM-Powered User Experiences"

8 / 8 papers shown

Title
AI Policy Projector: Grounding LLM Policy Design in Iterative Mapmaking Michelle S. Lam Fred Hohman Dominik Moritz Jeffrey P. Bigham Kenneth Holstein Mary Beth Kery 13 0 0 26 Sep 2024
In Situ AI Prototyping: Infusing Multimodal Prompts into Mobile Settings with MobileMaker S. Petridis Michael Xieyang Liu Alexander J. Fiannaca Vivian Tsai Michael Terry Carrie J. Cai 30 0 0 06 May 2024
Content-Centric Prototyping of Generative AI Applications: Emerging Approaches and Challenges in Collaborative Software Teams Hari Subramonyam Divy Thakkar Jurgen Dieber Anoop Sinha 33 1 0 27 Feb 2024
How People Prompt to Create Interactive VR Scenes Setareh Aghel Manesh Tianyi Zhang Yuki Onishi Kotaro Hara Scott Bateman Jiannan Li Anthony Tang 6 12 0 16 Feb 2024
Not Just Novelty: A Longitudinal Study on Utility and Customization of an AI Workflow Tao Long Katy Ilonka Gero Lydia B. Chilton 23 13 0 15 Feb 2024
PromptInfuser: How Tightly Coupling AI and UI Design Impacts Designers' Workflows S. Petridis Michael Terry Carrie J. Cai 30 10 0 24 Oct 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
Machine Learning Uncertainty as a Design Material: A Post-Phenomenological Inquiry J. Benjamin Arne Berger Nick Merrill James Pierce 23 72 0 11 Jan 2021