Mitchell L. Gordon

Orcid: 0000-0003-1008-2321

Affiliations:
  • Stanford University, Stanford, CA, USA
  • University of Rochester, Department of Computer Science, NY, USA


According to our database1, Mitchell L. Gordon authored at least 26 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
A Roadmap to Pluralistic Alignment.
CoRR, 2024

2023
Cura: Curation at Social Media Scale.
Proc. ACM Hum. Comput. Interact., 2023

Architecting Novel Interactions with Generative AI Models.
Proceedings of the Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, 2023

2022
End-User Audits: A System Empowering Communities to Lead Large-Scale Investigations of Harmful Algorithmic Behavior.
Proc. ACM Hum. Comput. Interact., 2022

Jury Learning: Integrating Dissenting Voices into Machine Learning Models.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021
Visual Intelligence through Human Interaction.
CoRR, 2021

Harnessing Disagreement to Create AI-Powered Systems That Reflect Our Values.
Proceedings of the UIST '21: The Adjunct Publication of the 34th Annual ACM Symposium on User Interface Software and Technology, 2021

The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2019
Approximating Human Judgment of Generated Image Quality.
CoRR, 2019

Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal.
Proceedings of the World Wide Web Conference, 2019

HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

HYPE: Human-eYe Perceptual Evaluation of Generative Models.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Touchscreen Haptic Augmentation Effects on Tapping, Drag and Drop, and Path Following.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

App Usage Predicts Cognitive Ability in Older Adults.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2017
Automatically Visualizing Audio Travel Podcasts.
Proceedings of the Adjunct Publication of the 30th Annual ACM Symposium on User Interface Software and Technology, 2017

CrowdMask: Using Crowds to Preserve Privacy in Crowd-Powered Systems via Progressive Filtering.
Proceedings of the Fifth AAAI Conference on Human Computation and Crowdsourcing, 2017

2016
Coding Varied Behavior Types Using the Crowd.
Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing, 2016

WatchWriter: Tap and Gesture Typing on a Smartwatch Miniature Keyboard with Statistical Decoding.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015
Toward a domain-specific visual discussion forum for learning computer programming: An empirical study of a popular MOOC forum.
Proceedings of the 2015 IEEE Symposium on Visual Languages and Human-Centric Computing, 2015

Codepourri: Creating visual coding tutorials using a volunteer crowd of learners.
Proceedings of the 2015 IEEE Symposium on Visual Languages and Human-Centric Computing, 2015

LegionTools: A Toolkit + UI for Recruiting and Routing Crowds to Synchronous Real-Time Tasks.
Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology, 2015

Exploring Privacy and Accuracy Trade-Offs in Crowdsourced Behavioral Video Coding.
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015

2014
Glance: rapidly coding behavioral video with the crowd.
Proceedings of the 27th Annual ACM Symposium on User Interface Software and Technology, 2014

Glance Privacy: Obfuscating Personal Identity While Coding Behavioral Video.
Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

Glance: enabling rapid interactions with data using the crowd.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

Web accessibility evaluation with the crowd: using glance to rapidly code user testing video.
Proceedings of the 16th international ACM SIGACCESS conference on Computers & accessibility, 2014


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