activity
20222026
most cited"That's important, but...": How Computer Science Researchers Anticipate Unintended Consequences of Their Research Innovations

38 citations · 71 across the 14 of their papers we have counts for

collaborators

15 papers

cs.CV2026

MolmoWeb: Open Visual Web Agent and Open Data for the Open Web

Tanmay Gupta, Piper Wolters, Zixian Ma +13

Web agents--autonomous systems that navigate and execute tasks on the web on behalf of users--have the potential to transform how people interact with the digital world. However, t…

cs.CY2025

On the Regulatory Potential of User Interfaces for AI Agent Governance

K. J. Kevin Feng, Tae Soo Kim, Rock Yuren Pang +3

AI agents that take actions in their environment autonomously over extended time horizons require robust governance interventions to curb their potentially consequential risks. Pri…

cs.CY2025

Advancing Data Equity: Practitioner Responsibility and Accountability in NLP Data Practices

Jay L. Cunningham, Kevin Zhongyang Shao, Rock Yuren Pang +1

While research has focused on surfacing and auditing algorithmic bias to ensure equitable AI development, less is known about how NLP practitioners - those directly involved in dat…

cs.HC2025

Interactive Reasoning: Visualizing and Controlling Chain-of-Thought Reasoning in Large Language Models

Rock Yuren Pang, K. J. Kevin Feng, Shangbin Feng +5

The output quality of large language models (LLMs) can be improved via "reasoning": generating segments of chain-of-thought (CoT) content to further condition the model prior to pr…

cs.HC2025

Passing the Buck to AI: How Individuals' Decision-Making Patterns Affect Reliance on AI

Katelyn Xiaoying Mei, Rock Yuren Pang, Alex Lyford +2

Psychological research has identified different patterns individuals have while making decisions, such as vigilance (making decisions after thorough information gathering), hypervi…

cs.CL2025

OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens

Jiacheng Liu, Taylor Blanton, Yanai Elazar +28

We present OLMoTrace, the first system that traces the outputs of language models back to their full, multi-trillion-token training data in real time. OLMoTrace finds and shows ver…

cs.HC2025★ 13 cited

Accessibility for Whom? Perceptions of Sidewalk Barriers Across Disability Groups and Implications for Designing Personalized Maps

Chu Li, Rock Yuren Pang, Delphine Labbé +3

Despite diverse mobility needs worldwide, existing mapping tools fail to address the varied experiences of different mobility device users. This paper presents a large-scale online…

cs.HC2025★ 6 cited

Understanding the LLM-ification of CHI: Unpacking the Impact of LLMs at CHI through a Systematic Literature Review

Rock Yuren Pang, Hope Schroeder, Kynnedy Simone Smith +4

Large language models (LLMs) have been positioned to revolutionize HCI, by reshaping not only the interfaces, design patterns, and sociotechnical systems that we study, but also th…

cs.HC2024★ 5 cited

AltGeoViz: Facilitating Accessible Geovisualization

Chu Li, Rock Yuren Pang, Ather Sharif +3

Geovisualizations are powerful tools for exploratory spatial analysis, enabling sighted users to discern patterns, trends, and relationships within geographic data. However, these…

cs.HC2024

BLIP: Facilitating the Exploration of Undesirable Consequences of Digital Technologies

Rock Yuren Pang, Sebastin Santy, René Just +1

Digital technologies have positively transformed society, but they have also led to undesirable consequences not anticipated at the time of design or development. We posit that ins…

cs.CY2023★ 1 cited

The Case for Anticipating Undesirable Consequences of Computing Innovations Early, Often, and Across Computer Science

Rock Yuren Pang, Dan Grossman, Tadayoshi Kohno +1

From smart sensors that infringe on our privacy to neural nets that portray realistic imposter deepfakes, our society increasingly bears the burden of negative, if unintended, cons…

cs.IR2023★ 6 cited

Auditing Cross-Cultural Consistency of Human-Annotated Labels for Recommendation Systems

Rock Yuren Pang, Jack Cenatempo, Franklyn Graham +5

Recommendation systems increasingly depend on massive human-labeled datasets; however, the human annotators hired to generate these labels increasingly come from homogeneous backgr…

cs.HC2023★ 2 cited

Anticipating Unintended Consequences of Technology Using Insights from Creativity Support Tools

Rock Yuren Pang, Katharina Reinecke

Our society has been increasingly witnessing a number of negative, unintended consequences of digital technologies. While post-hoc policy regulation is crucial in addressing these…

cs.HC2023★ 38 cited

"That's important, but...": How Computer Science Researchers Anticipate Unintended Consequences of Their Research Innovations

Kimberly Do, Rock Yuren Pang, Jiachen Jiang +1

Computer science research has led to many breakthrough innovations but has also been scrutinized for enabling technology that has negative, unintended consequences for society. Giv…

cs.HC2022

How Do Data Science Workers Communicate Intermediate Results?

Rock Yuren Pang, Ruotong Wang, Joely Nelson +1

Data science workers increasingly collaborate on large-scale projects before communicating insights to a broader audience in the form of visualization. While prior work has modeled…