769 citations · 1.4k across the 8 of their papers we have counts for
8 papers
Prompt Adaptation as a Dynamic Complement in Generative AI Systems
Eaman Jahani, Benjamin S. Manning, Joe Zhang +5
As generative AI systems rapidly improve, a key question emerges: how do users adapt to these changes, and when does such adaptation matter for realizing performance gains? Drawing…
Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies
Chirag Shah, Ryen W. White, Reid Andersen +13
Log data can reveal valuable information about how users interact with Web search services, what they want, and how satisfied they are. However, analyzing user intents in log data…
Quantifying the Invisible Labor in Crowd Work
Carlos Toxtli, Siddharth Suri, Saiph Savage
Crowdsourcing markets provide workers with a centralized place to find paid work. What may not be obvious at first glance is that, in addition to the work they do for pay, crowd wo…
How Work From Home Affects Collaboration: A Large-Scale Study of Information Workers in a Natural Experiment During COVID-19
Longqi Yang, Sonia Jaffe, David Holtz +9
The COVID-19 pandemic has had a wide-ranging impact on information workers such as higher stress levels, increased workloads, new workstreams, and more caregiving responsibilities…
What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring
Andi Peng, Besmira Nushi, Emre Kiciman +3
Although systematic biases in decision-making are widely documented, the ways in which they emerge from different sources is less understood. We present a controlled experimental p…
Learning in the Repeated Secretary Problem
Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri +1
In the classical secretary problem, one attempts to find the maximum of an unknown and unlearnable distribution through sequential search. In many real-world searches, however, dis…