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2020 – today
- 2024
[c7]Kelly Avery Mack, Kate S. Glazko, Jamil Islam, Megan Hofmann, Jennifer Mankoff:
"It's like Goldilocks: " Bespoke Slides for Fluctuating Audience Access Needs. ASSETS 2024: 71:1-71:15- [c6]Kate S. Glazko
, Yusuf Mohammed, Ben Kosa, Venkatesh Potluri, Jennifer Mankoff:
Identifying and Improving Disability Bias in GPT-Based Resume Screening. FAccT 2024: 687-700 - [c5]Kate S. Glazko, Alexandra A Portnova-Fahreeva, Arun Mankoff-Dey, Afroditi Psarra, Jennifer Mankoff:
Shaping lace: Machine embroidered metamaterials. SCF 2024: 7 - [i5]Kate S. Glazko, Yusuf Mohammed, Ben Kosa, Venkatesh Potluri, Jennifer Mankoff:
Identifying and Improving Disability Bias in GAI-Based Resume Screening. CoRR abs/2402.01732 (2024) - 2023
- [j1]Elizabeth L. Murnane, Yekaterina S. Glazko, Jean M. R. Costa, Raymond Yao, Grace Zhao, Paula Moya, James A. Landay:
Narrative-Based Visual Feedback to Encourage Sustained Physical Activity: A Field Trial of the WhoIsZuki Mobile Health Platform. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(1): 23:1-23:36 (2023) - [c4]Kate S. Glazko, Momona Yamagami, Aashaka Desai, Kelly Avery Mack, Venkatesh Potluri, Xuhai Xu, Jennifer Mankoff:
An Autoethnographic Case Study of Generative Artificial Intelligence's Utility for Accessibility. ASSETS 2023: 99:1-99:8 - [c3]Francine Chen, Matthew K. Hong, Laurent Denoue, Kate Glazko, Emily Sarah Sumner, Yan-Ying Chen, Matthew Klenk:
CodeML: A Machine Learning-Assisted User Interface for Code Identification and Labeling. CHI Extended Abstracts 2023: 71:1-71:7 - [c2]Anna Kawakami, Luke Guerdan, Yanghuidi Cheng, Kate Glazko, Matthew L. Lee, Scott A. Carter, Nikos Aréchiga, Haiyi Zhu, Kenneth Holstein:
Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge. CI 2023: 63-78 - [i4]Kate S. Glazko, Momona Yamagami, Aashaka Desai, Kelly Avery Mack, Venkatesh Potluri, Xuhai Xu, Jennifer Mankoff:
An Autoethnographic Case Study of Generative Artificial Intelligence's Utility for Accessibility. CoRR abs/2308.09924 (2023) - [i3]Anna Kawakami, Luke Guerdan, Yanghuidi Cheng, Matthew L. Lee, Scott A. Carter, Nikos Aréchiga, Kate Glazko, Haiyi Zhu, Kenneth Holstein:
Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge. CoRR abs/2308.15700 (2023) - 2022
- [c1]David A. Shamma, Matthew L. Lee, Alexandre L. S. Filipowicz, Laurent Denoue, Kate Glazko, Kalani Murakami, Kent Lyons:
EV Life: A Counterfactual Dashboard Towards Reducing Carbon Emissions of Automotive Behaviors. IUI Companion 2022: 46-49 - [i2]Nikos Aréchiga, Francine Chen, Rumen Iliev, Emily Sumner, Scott A. Carter, Alexandre L. S. Filipowicz, Nayeli Suseth Bravo, Monica P. Van, Kate Glazko, Kalani Murakami, Laurent Denoue, Candice Hogan, Katharine Sieck, Charlene C. Wu, Kent Lyons:
Understanding and Shifting Preferences for Battery Electric Vehicles. CoRR abs/2202.08963 (2022) - [i1]Anna Kawakami, Luke Guerdan, Yang Cheng, Anita Sun, Alison Hu, Kate Glazko, Nikos Aréchiga, Matthew L. Lee, Scott A. Carter, Haiyi Zhu, Kenneth Holstein:
Towards a Learner-Centered Explainable AI: Lessons from the learning sciences. CoRR abs/2212.05588 (2022)
Coauthor Index
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