Hong Shen

Orcid: 0000-0002-5364-3718

Affiliations:
  • Carnegie Mellon University, Pittsburgh, PA, USA


According to our database1, Hong Shen authored at least 17 papers between 2020 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals.
CoRR, 2024

"I'm categorizing LLM as a productivity tool": Examining ethics of LLM use in HCI research practices.
CoRR, 2024

Predicting and Presenting Task Difficulty for Crowdsourcing Food Rescue Platforms.
Proceedings of the ACM on Web Conference 2024, 2024

AI Failure Cards: Understanding and Supporting Grassroots Efforts to Mitigate AI Failures in Homeless Services.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023
The Public Algorithms Survey in Allegheny County.
CoRR, 2023

Shaping the Emerging Norms of Using Large Language Models in Social Computing Research.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

Participation and Division of Labor in User-Driven Algorithm Audits: How Do Everyday Users Work together to Surface Algorithmic Harms?
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Understanding Frontline Workers' and Unhoused Individuals' Perspectives on AI Used in Homeless Services.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practice.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Understanding Practices, Challenges, and Opportunities for User-Driven Algorithm Auditing in Industry Practice.
CoRR, 2022

"Public(s)-in-the-Loop": Facilitating Deliberation of Algorithmic Decisions in Contentious Public Policy Domains.
CoRR, 2022

Toward User-Driven Algorithm Auditing: Investigating users' strategies for uncovering harmful algorithmic behavior.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021
Lean Privacy Review: Collecting Users' Privacy Concerns of Data Practices at a Low Cost.
ACM Trans. Comput. Hum. Interact., 2021

Everyday Algorithm Auditing: Understanding the Power of Everyday Users in Surfacing Harmful Algorithmic Behaviors.
Proc. ACM Hum. Comput. Interact., 2021

More Kawaii than a Real-Person Live Streamer: Understanding How the Otaku Community Engages with and Perceives Virtual YouTubers.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020
Designing Alternative Representations of Confusion Matrices to Support Non-Expert Public Understanding of Algorithm Performance.
Proc. ACM Hum. Comput. Interact., 2020

'I Can't Even Buy Apples If I Don't Use Mobile Pay?': When Mobile Payments Become Infrastructural in China.
Proc. ACM Hum. Comput. Interact., 2020


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