6 citations · 14 across the 10 of their papers we have counts for
12 papers
TeleTune: Evolving Agent Skills From Offline Telemetry
Justin Chih-Yao Chen, Elias Stengel-Eskin, Yan Chen +6
Computer-use agents need to capture procedural knowledge of how people use software. User telemetry offers a scalable source of this knowledge. However, learning reusable skills fr…
From Images to Tasks: Characterizing Multimodal LLM Interactions in the Wild
Jinyi Ye, Scott Counts, Gaurav Verma +2
Multimodal large language models (LLMs) increasingly integrate vision and text, yet how people use them in natural settings remains underexplored. We seek to answer the question: w…
Rhythms of Work: Multi-Scale Interpretation of Human Behavioral Traces for Workplace Agents
Lin Ai, Scott Counts
Runtime traces are becoming a central substrate for understanding agentic systems, yet interpretation has focused largely on what the agent did. Workplace agents face the complemen…
Adoption of Generative AI in the Workplace: Increasing and Shifting the Balance of Productivity and Communication Activity
Yulin Yu, Yan Chen, Rui Hu +2
Generative AI is transforming the workplace by augmenting and automating cognitive tasks, reshaping how organizations work and innovate while raising questions about workplace ineq…
Abstracting Cross-Domain Action Sequences into Interpretable Workflows
Gaurav Verma, Scott Counts
Sequential or time-stamped interaction logs provide objective records of digital application usage, yet their granularity and noise often obscure meaningful insights into people's…
AI in the Enterprise: How People Use M365 Copilot Chat
Scott Counts, Yan Chen, Jing Dong +9
M365 Copilot is used every week by millions of people across more than a million companies around the world as part of their workflows. Uniquely positioned in the AI landscape give…
From Searchable to Non-Searchable: Generative AI and Information Diversity in Online Information Seeking
Yulin Yu, Yizhou Li, Siddharth Suri +3
Conversational generative AI systems such as ChatGPT are transforming how people seek and engage with information online. Unlike traditional search engines, these systems support o…
Working with AI: Measuring the Applicability of Generative AI to Occupations
Kiran Tomlinson, Sonia Jaffe, Will Wang +2
With generative AI emerging as a general-purpose technology, understanding its economic effects is among society's most pressing questions. Earlier work on AI impact largely relied…
Speaking the Right Language: The Impact of Expertise Alignment in User-AI Interactions
Shramay Palta, Nirupama Chandrasekaran, Rachel Rudinger +1
Using a sample of 25,000 Bing Copilot conversations, we study how the agent responds to users of varying levels of domain expertise and the resulting impact on user experience alon…
The Use of Generative Search Engines for Knowledge Work and Complex Tasks
Siddharth Suri, Scott Counts, Leijie Wang +11
Until recently, search engines were the predominant method for people to access online information. The recent emergence of large language models (LLMs) has given machines new capa…
TnT-LLM: Text Mining at Scale with Large Language Models
Mengting Wan, Tara Safavi, Sujay Kumar Jauhar +11
Transforming unstructured text into structured and meaningful forms, organized by useful category labels, is a fundamental step in text mining for downstream analysis and applicati…
Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models
Ying-Chun Lin, Jennifer Neville, Jack W. Stokes +14
Accurate and interpretable user satisfaction estimation (USE) is critical for understanding, evaluating, and continuously improving conversational systems. Users express their sati…