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2020 – today
- 2024
[c16]Maryam Taeb
, Amanda Swearngin, Eldon Schoop, Ruijia Cheng, Yue Jiang, Jeffrey Nichols:
AXNav: Replaying Accessibility Tests from Natural Language. CHI 2024: 962:1-962:16- [c15]Jason Wu, Yi-Hao Peng, Xin Yue Amanda Li, Amanda Swearngin, Jeffrey P. Bigham, Jeffrey Nichols:
UIClip: A Data-driven Model for Assessing User Interface Design. UIST 2024: 45:1-45:16 - [i13]Keen You, Haotian Zhang, Eldon Schoop, Floris Weers, Amanda Swearngin, Jeffrey Nichols, Yinfei Yang, Zhe Gan:
Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs. CoRR abs/2404.05719 (2024) - [i12]Jason Wu, Yi-Hao Peng, Xin Yue Amanda Li, Amanda Swearngin, Jeffrey P. Bigham, Jeffrey Nichols:
UIClip: A Data-driven Model for Assessing User Interface Design. CoRR abs/2404.12500 (2024) - [i11]Forough Mehralian, Titus Barik, Jeffrey Nichols, Amanda Swearngin:
Automated Code Fix Suggestions for Accessibility Issues in Mobile Apps. CoRR abs/2408.03827 (2024) - [i10]Yuwen Lu, Alan Leung, Amanda Swearngin, Jeffrey Nichols, Titus Barik:
Misty: UI Prototyping Through Interactive Conceptual Blending. CoRR abs/2409.13900 (2024) - 2023
- [c14]Jason Wu, Rebecca Krosnick, Eldon Schoop, Amanda Swearngin, Jeffrey P. Bigham, Jeffrey Nichols:
Never-ending Learning of User Interfaces. UIST 2023: 113:1-113:13 - [i9]Jason Wu, Amanda Swearngin, Xiaoyi Zhang, Jeffrey Nichols, Jeffrey P. Bigham:
Screen Correspondence: Mapping Interchangeable Elements between UIs. CoRR abs/2301.08372 (2023) - [i8]Jason Wu, Rebecca Krosnick, Eldon Schoop, Amanda Swearngin, Jeffrey P. Bigham, Jeffrey Nichols:
Never-ending Learning of User Interfaces. CoRR abs/2308.08726 (2023) - [i7]Amanda Swearngin, Jason Wu, Xiaoyi Zhang, Esteban Gomez, Jen Coughenour, Rachel Stukenborg, Bhavya Garg, Greg Hughes, Adriana Hilliard, Jeffrey P. Bigham, Jeffrey Nichols:
Towards Automated Accessibility Report Generation for Mobile Apps. CoRR abs/2310.00091 (2023) - [i6]Maryam Taeb, Amanda Swearngin, Eldon Schoop, Ruijia Cheng, Yue Jiang, Jeffrey Nichols:
AXNav: Replaying Accessibility Tests from Natural Language. CoRR abs/2310.02424 (2023) - [i5]Yue Jiang, Eldon Schoop, Amanda Swearngin, Jeffrey Nichols:
ILuvUI: Instruction-tuned LangUage-Vision modeling of UIs from Machine Conversations. CoRR abs/2310.04869 (2023) - 2022
- [c13]Jieshan Chen, Amanda Swearngin, Jason Wu, Titus Barik, Jeffrey Nichols, Xiaoyi Zhang:
Towards Complete Icon Labeling in Mobile Applications. CHI 2022: 387:1-387:14 - [c12]Shirin Feiz, Jason Wu, Xiaoyi Zhang, Amanda Swearngin, Titus Barik, Jeffrey Nichols:
Understanding Screen Relationships from Screenshots of Smartphone Applications. IUI 2022: 447-458 - [i4]Jieshan Chen, Amanda Swearngin, Jason Wu, Titus Barik, Jeffrey Nichols, Xiaoyi Zhang:
Extracting Replayable Interactions from Videos of Mobile App Usage. CoRR abs/2207.04165 (2022) - 2021
- [c11]Xiaoyi Zhang, Lilian de Greef, Amanda Swearngin, Samuel White, Kyle I. Murray, Lisa Yu, Qi Shan, Jeffrey Nichols, Jason Wu, Chris Fleizach, Aaron Everitt, Jeffrey P. Bigham:
Screen Recognition: Creating Accessibility Metadata for Mobile Applications from Pixels. CHI 2021: 275:1-275:15 - [c10]Amanda Swearngin, Shamsi T. Iqbal, Victor Poznanski, Mark J. Encarnación, Paul N. Bennett, Jaime Teevan:
Scraps: Enabling Mobile Capture, Contextualization, and Use of Document Resources. CHI 2021: 641:1-641:14 - [i3]Xiaoyi Zhang, Lilian de Greef, Amanda Swearngin, Samuel White, Kyle I. Murray, Lisa Yu, Qi Shan, Jeffrey Nichols, Jason Wu, Chris Fleizach, Aaron Everitt, Jeffrey P. Bigham:
Screen Recognition: Creating Accessibility Metadata for Mobile Applications from Pixels. CoRR abs/2101.04893 (2021) - 2020
- [b1]Amanda Swearngin:
Expanding Interface Design Capabilities through Semantic and Data-Driven Analyses. University of Washington, USA, 2020 - [c9]Amanda Swearngin, Chenglong Wang, Alannah Oleson, James Fogarty, Amy J. Ko:
Scout: Rapid Exploration of Interface Layout Alternatives through High-Level Design Constraints. CHI 2020: 1-13 - [i2]Amanda Swearngin, Chenglong Wang, Alannah Oleson, James Fogarty, Amy J. Ko:
Scout: Rapid Exploration of Interface Layout Alternatives through High-Level Design Constraints. CoRR abs/2001.05424 (2020)
2010 – 2019
- 2019
- [c8]Amanda Swearngin, Yang Li:
Modeling Mobile Interface Tappability Using Crowdsourcing and Deep Learning. CHI 2019: 75 - [i1]Amanda Swearngin, Yang Li:
Modeling Mobile Interface Tappability Using Crowdsourcing and Deep Learning. CoRR abs/1902.11247 (2019) - 2018
- [c7]Amanda Swearngin, Mira Dontcheva, Wilmot Li, Joel Brandt, Morgan Dixon, Amy J. Ko:
Rewire: Interface Design Assistance from Examples. CHI 2018: 504 - [c6]Amanda Swearngin, Amy J. Ko, James Fogarty:
Scout: Mixed-Initiative Exploration of Design Variations through High-Level Design Constraints. UIST (Adjunct Volume) 2018: 134-136 - 2017
- [c5]Amanda Swearngin, Amy J. Ko, James Fogarty:
Genie: Input Retargeting on the Web through Command Reverse Engineering. CHI 2017: 4703-4714 - 2013
- [c4]Amanda Swearngin, Myra B. Cohen, Bonnie E. John, Rachel K. E. Bellamy:
Human performance regression testing. ICSE 2013: 152-161 - 2012
- [c3]Amanda Swearngin, Myra B. Cohen, Bonnie E. John, Rachel K. E. Bellamy:
Easing the generation of predictive human performance models from legacy systems. CHI 2012: 2489-2498 - 2011
- [c2]Sandeep Kaur Kuttal, Anita Sarma, Amanda Swearngin, Gregg Rothermel:
Versioning for Mashups - An Exploratory Study. IS-EUD 2011: 25-41 - [c1]Amanda Swearngin, Berthe Y. Choueiry, Eugene C. Freuder:
A Reformulation Strategy for Multi-Dimensional CSPs: The Case Study of the SET Game. SARA 2011
Coauthor Index
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last updated on 2024-10-23 20:33 CEST by the dblp team
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