58 citations · 88 across the 4 of their papers we have counts for
5 papers
Comparing scalable strategies for generating numerical perspectives
Hancheng Cao, Sofia Eleni Spatharioti, Daniel G. Goldstein +1
Numerical perspectives help people understand extreme and unfamiliar numbers (e.g., $330 billion is about $1,000 per person in the United States). While research shows perspectiv…
Comparing Traditional and LLM-based Search for Consumer Choice: A Randomized Experiment
Sofia Eleni Spatharioti, David M. Rothschild, Daniel G. Goldstein +1
Recent advances in the development of large language models are rapidly changing how online applications function. LLM-based search tools, for instance, offer a natural language in…
How good is good enough for COVID19 apps? The influence of benefits, accuracy, and privacy on willingness to adopt
Gabriel Kaptchuk, Daniel G. Goldstein, Eszter Hargittai +2
A growing number of contact tracing apps are being developed to complement manual contact tracing. A key question is whether users will be willing to adopt these contact tracing ap…
Manipulating and Measuring Model Interpretability
Forough Poursabzi-Sangdeh, Daniel G. Goldstein, Jake M. Hofman +2
With machine learning models being increasingly used to aid decision making even in high-stakes domains, there has been a growing interest in developing interpretable models. Altho…
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…