Computational Approaches for Understanding, Generating, and Adapting User Interfaces-Reference-Cited by-同舟云学术

Computational Approaches for Understanding, Generating, and Adapting User Interfaces

Published:2022-04-27 Issue: Volume: Page:
ISSN:
Container-title:CHI Conference on Human Factors in Computing Systems Extended Abstracts
language:
Short-container-title:

Author:

Jiang Yue¹,Lu Yuwen²,Nichols Jeffrey³,Stuerzlinger Wolfgang⁴,Yu Chun⁵,Lutteroth Christof⁶,Li Yang⁷,Kumar Ranjitha⁸,Li Toby Jia-Jun⁹

Affiliation:

1. Max Planck Institute for Informatics, Germany

2. Department of Computer Science, University of Notre Dame, United States

3. Apple, United States

4. School of Interactive Arts + Technology (SIAT), Simon Fraser University, Canada

5. Department of Computer science and Technology, Tsinghua University, China

6. Computer Science, University of Bath, United Kingdom

7. Google Research, United States

8. University of Illinois at Urbana-Champaign, United States

9. Department of Computer Science and Engineering, University of Notre Dame, United States

Publisher

ACM

Link

Reference36 articles.

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Computational Methodologies for Understanding, Automating, and Evaluating User Interfaces;Extended Abstracts of the CHI Conference on Human Factors in Computing Systems;2024-05-11

3. Graph4GUI: Graph Neural Networks for Representing Graphical User Interfaces;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11