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2020 – today
- 2024
[i5]Kevin Ma, Daniele Grandi, Christopher McComb, Kosa Goucher-Lambert:
Exploring the Capabilities of Large Language Models for Generating Diverse Design Solutions. CoRR abs/2405.02345 (2024)- [i4]Zhaohui Liang, Xiaoyu Zhang, Kevin Ma, Zhao Liu, Xipei Ren, Kosa Goucher-Lambert, Can Liu:
StoryDiffusion: How to Support UX Storyboarding With Generative-AI. CoRR abs/2407.07672 (2024) - 2023
- [i3]Shahroz Khan, Kosa Goucher-Lambert
, Konstantinos V. Kostas, Panagiotis D. Kaklis:
ShipHullGAN: A generic parametric modeller for ship hull design using deep convolutional generative model. CoRR abs/2305.00210 (2023) - [i2]Shahroz Khan, Panagiotis D. Kaklis, Kosa Goucher-Lambert:
How does agency impact human-AI collaborative design space exploration? A case study on ship design with deep generative models. CoRR abs/2305.10451 (2023) - [i1]Kevin Ma, Daniele Grandi, Christopher McComb, Kosa Goucher-Lambert:
Conceptual Design Generation Using Large Language Models. CoRR abs/2306.01779 (2023) - 2022
- [j2]Elisa Kwon, Forrest Huang, Kosa Goucher-Lambert:
Enabling multi-modal search for inspirational design stimuli using deep learning. Artif. Intell. Eng. Des. Anal. Manuf. 36: e22 (2022) - [j1]Leah Chong, Guanglu Zhang, Kosa Goucher-Lambert, Kenneth Kotovsky, Jonathan Cagan:
Human confidence in artificial intelligence and in themselves: The evolution and impact of confidence on adoption of AI advice. Comput. Hum. Behav. 127: 107018 (2022)
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