The Future of Computational Approaches for Understanding and Adapting User Interfaces-Reference-Cited by-同舟云学术

The Future of Computational Approaches for Understanding and Adapting User Interfaces

Published:2023-04-19 Issue: Volume: Page:
ISSN:
Container-title:Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
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Author:

Jiang Yue¹^ORCID,Lu Yuwen²^ORCID,Lutteroth Christof³^ORCID,Li Toby Jia-Jun⁴^ORCID,Nichols Jeffrey⁵^ORCID,Stuerzlinger Wolfgang⁶^ORCID

Affiliation:

1. Aalto University, Finland

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

3. Computer Science, University of Bath, United Kingdom

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

5. Apple Inc, United States

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

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3544549.3573805

Reference39 articles.

1. The Cassowary linear arithmetic constraint solving algorithm

2. Chongyang Bai , Xiaoxue Zang , Ying Xu , Srinivas Sunkara , Abhinav Rastogi , Jindong Chen , 2021 . Uibert: Learning generic multimodal representations for ui understanding. arXiv preprint arXiv:2107.13731(2021). Chongyang Bai, Xiaoxue Zang, Ying Xu, Srinivas Sunkara, Abhinav Rastogi, Jindong Chen, 2021. Uibert: Learning generic multimodal representations for ui understanding. arXiv preprint arXiv:2107.13731(2021).

3. Robust relational layout synthesis from examples for Android

4. Constraint-based tools for building user interfaces

5. Rico

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