Web accessibility evaluation with the crowd: using glance to rapidly code user testing video. - Mitchell L. Gordon (ASSETS, 2014)

Glance: enabling rapid interactions with data using the crowd. - Walter S. Lasecki; Mitchell L. Gordon; Steven P. Dow; Jeffrey P. Bigham (CHI Extended Abstracts, 2014)

Glance Privacy: Obfuscating Personal Identity While Coding Behavioral Video. - Mitchell L. Gordon; Walter S. Lasecki; Winnie Leung; Ellen Lim; Steven P. Dow; Jeffrey P. Bigham (HCOMP, 2014)

Glance: rapidly coding behavioral video with the crowd. - Walter S. Lasecki; Mitchell L. Gordon; Danai Koutra; Malte F. Jung; Steven P. Dow; Jeffrey P. Bigham (UIST, 2014)

Exploring Privacy and Accuracy Trade-Offs in Crowdsourced Behavioral Video Coding. - Walter S. Lasecki; Mitchell L. Gordon; Winnie Leung; Ellen Lim; Jeffrey P. Bigham; Steven P. Dow (CHI, 2015)

LegionTools: A Toolkit + UI for Recruiting and Routing Crowds to Synchronous Real-Time Tasks. - Mitchell L. Gordon; Jeffrey P. Bigham; Walter S. Lasecki (UIST (Adjunct Volume), 2015)

Codepourri: Creating visual coding tutorials using a volunteer crowd of learners. - Mitchell L. Gordon; Philip J. Guo (VL/HCC, 2015)

Toward a domain-specific visual discussion forum for learning computer programming: An empirical study of a popular MOOC forum. - Joyce Zhu; Jeremy Warner; Mitchell L. Gordon; Jeffery White; Renan Zanelatto; Philip J. Guo (VL/HCC, 2015)

WatchWriter: Tap and Gesture Typing on a Smartwatch Miniature Keyboard with Statistical Decoding. - Mitchell L. Gordon; Tom Ouyang; Shumin Zhai (CHI, 2016)

Coding Varied Behavior Types Using the Crowd. - Jinyeong Yim; Jeel Jasani; Aubrey Henderson; Danai Koutra; Steven Dow; Winnie Leung; Ellen Lim; Mitchell L. Gordon; Jeffrey P. Bigham; Walter S. Lasecki (CSCW Companion, 2016)

CrowdMask: Using Crowds to Preserve Privacy in Crowd-Powered Systems via Progressive Filtering. - Harmanpreet Kaur; Mitchell L. Gordon; Yiwei Yang 004; Jeffrey P. Bigham; Jaime Teevan; Ece Kamar; Walter S. Lasecki (HCOMP, 2017)

Automatically Visualizing Audio Travel Podcasts. - Jihyeon Janel Lee; Mitchell L. Gordon; Maneesh Agrawala (UIST (Adjunct Volume), 2017)

App Usage Predicts Cognitive Ability in Older Adults. - Mitchell L. Gordon; Leon A. Gatys; Carlos Guestrin; Jeffrey P. Bigham; Andrew Trister; Kayur Patel (CHI, 2019)

Touchscreen Haptic Augmentation Effects on Tapping, Drag and Drop, and Path Following. - Mitchell L. Gordon; Shumin Zhai (CHI, 2019)

HYPE: Human-eYe Perceptual Evaluation of Generative Models. - Sharon Zhou; Mitchell L. Gordon; Ranjay Krishna; Austin Narcomey; Durim Morina; Michael S. Bernstein (DGS@ICLR, 2019)

HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models. - Sharon Zhou; Mitchell L. Gordon; Ranjay Krishna; Austin Narcomey; Li Fei-Fei 001; Michael S. Bernstein (NeurIPS, 2019)

Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal. - Mitchell L. Gordon; Tim Althoff; Jure Leskovec (WWW, 2019)

Approximating Human Judgment of Generated Image Quality. - Y. Alex Kolchinski; Sharon Zhou; Shengjia Zhao; Mitchell L. Gordon; Stefano Ermon (CoRR, 2019)

The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality. - Mitchell L. Gordon; Kaitlyn Zhou; Kayur Patel; Tatsunori Hashimoto; Michael S. Bernstein (CHI, 2021)

Harnessing Disagreement to Create AI-Powered Systems That Reflect Our Values. - Mitchell L. Gordon (UIST (Adjunct Volume), 2021)

Visual Intelligence through Human Interaction. - Ranjay Krishna; Mitchell L. Gordon; Li Fei-Fei 001; Michael S. Bernstein (CoRR, 2021)

Jury Learning: Integrating Dissenting Voices into Machine Learning Models. - Mitchell L. Gordon; Michelle S. Lam; Joon Sung Park; Kayur Patel; Jeffrey T. Hancock; Tatsunori Hashimoto; Michael S. Bernstein (CHI, 2022)

End-User Audits: A System Empowering Communities to Lead Large-Scale Investigations of Harmful Algorithmic Behavior. - Michelle S. Lam; Mitchell L. Gordon; Danaë Metaxa; Jeffrey T. Hancock; James A. Landay; Michael S. Bernstein (Proc. ACM Hum. Comput. Interact., 2022)

Architecting Novel Interactions with Generative AI Models. - Michael S. Bernstein; Joon Sung Park; Meredith Ringel Morris; Saleema Amershi; Lydia B. Chilton; Mitchell L. Gordon (UIST (Adjunct Volume), 2023)

Cura: Curation at Social Media Scale. - Wanrong He; Mitchell L. Gordon; Lindsay Popowski; Michael S. Bernstein (Proc. ACM Hum. Comput. Interact., 2023)

StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements. - Jillian Fisher; Skyler Hallinan; Ximing Lu; Mitchell L. Gordon; Zaïd Harchaoui; Yejin Choi 001 (EMNLP, 2024)

Position: A Roadmap to Pluralistic Alignment. - Taylor Sorensen; Jared Moore; Jillian Fisher; Mitchell L. Gordon; Niloofar Mireshghallah; Christopher Michael Rytting; Andre Ye; Liwei Jiang; Ximing Lu; Nouha Dziri; Tim Althoff; Yejin Choi 001 (ICML, 2024)

A Roadmap to Pluralistic Alignment. - Taylor Sorensen; Jared Moore; Jillian Fisher; Mitchell L. Gordon; Niloofar Mireshghallah; Christopher Michael Rytting; Andre Ye; Liwei Jiang; Ximing Lu; Nouha Dziri; Tim Althoff; Yejin Choi 001 (CoRR, 2024)