Daniel G. Goldstein

According to our database, Daniel G. Goldstein authored at least 31 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Bringing Everyone to the Table: An Experimental Study of LLM-Facilitated Group Decision Making.

Mohammed Alsobay, David M. Rothschild, Jake M. Hofman, Daniel G. Goldstein

CoRR, August, 2025

The Agentic Economy.

David M. Rothschild, Markus Mobius, Jake M. Hofman, Eleanor Wiske Dillon, Daniel G. Goldstein, Nicole Immorlica, Sonia Jaffe, Brendan Lucier, Aleksandrs Slivkins, Matthew Vogel

CoRR, May, 2025

Learning not cheating: AI assistance can enhance rather than hinder skill development.

Benjamin Lira, Todd Rogers, Daniel G. Goldstein, Lyle H. Ungar, Angela Lee Duckworth

CoRR, February, 2025

Effects of LLM-based Search on Decision Making: Speed, Accuracy, and Overreliance.

Sofia Eleni Spatharioti, David M. Rothschild, Daniel G. Goldstein, Jake M. Hofman

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

Math Education With Large Language Models: Peril or Promise?

Harsh Kumar, David M. Rothschild, Daniel G. Goldstein, Jake M. Hofman

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

2024

Using Open Data to Automatically Generate Localized Analogies.

Sofia Eleni Spatharioti, Daniel G. Goldstein, Jake M. Hofman

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Comparing scalable strategies for generating numerical perspectives.

Hancheng Cao, Sofia Eleni Spatharioti, Daniel G. Goldstein, Jake M. Hofman

CoRR, 2023

Comparing Traditional and LLM-based Search for Consumer Choice: A Randomized Experiment.

Sofia Eleni Spatharioti, David M. Rothschild, Daniel G. Goldstein, Jake M. Hofman

CoRR, 2023

2022

How Good is Good Enough? Quantifying the Impact of Benefits, Accuracy, and Privacy on Willingness to Adopt COVID-19 Decision Aids.

Gabriel Kaptchuk, Daniel G. Goldstein, Eszter Hargittai, Jake M. Hofman, Elissa M. Redmiles

DTRAP, 2022

Investigating Perceptual Biases in Icon Arrays.

Cindy Xiong, Ali Sarvghad, Daniel G. Goldstein, Jake M. Hofman, Çagatay Demiralp

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Round Numbers Can Sharpen Cognition.

Huy Anh Nguyen, Jake M. Hofman, Daniel G. Goldstein

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Putting scientific results in perspective: Improving the communication of standardized effect sizes.

Yea-Seul Kim, Jake M. Hofman, Daniel G. Goldstein

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

Datamations: Animated Explanations of Data Analysis Pipelines.

Xiaoying Pu, Sean Kross, Jake M. Hofman, Daniel G. Goldstein

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Manipulating and Measuring Model Interpretability.

Forough Poursabzi-Sangdeh, Daniel G. Goldstein, Jake M. Hofman, Jennifer Wortman Vaughan, Hanna M. Wallach

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

Learning When to Stop Searching.

Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri, James R. Wright

Manag. Sci., 2020

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, Jake M. Hofman, Elissa M. Redmiles

CoRR, 2020

Expanding the Scope of Reproducibility Research Through Data Analysis Replications.

Jake M. Hofman, Daniel G. Goldstein, Siddhartha Sen, Forough Poursabzi-Sangdeh

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

How Visualizing Inferential Uncertainty Can Mislead Readers About Treatment Effects in Scientific Results.

Jake M. Hofman, Daniel G. Goldstein, Jessica Hullman

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2018

To Put That in Perspective: Generating Analogies that Make Numbers Easier to Understand.

Christopher Riederer, Jake M. Hofman, Daniel G. Goldstein

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017

Learning in the Repeated Secretary Problem.

Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri, James R. Wright

Proceedings of the 2017 ACM Conference on Economics and Computation, 2017

VoxPL: Programming with the Wisdom of the Crowd.

Daniel W. Barowy, Emery D. Berger, Daniel G. Goldstein, Siddharth Suri

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016

Erratum to: The role of subjective beliefs in preferences for redistribution.

Lionel Page, Daniel G. Goldstein

Soc. Choice Welf., 2016

Subjective beliefs about the income distribution and preferences for redistribution.

Lionel Page, Daniel G. Goldstein

Soc. Choice Welf., 2016

Improving Comprehension of Numbers in the News.

Pablo Javier Barrio, Daniel G. Goldstein, Jake M. Hofman

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2014

Predicting Individual Behavior with Social Networks.

Sharad Goel, Daniel G. Goldstein

Mark. Sci., 2014

The wisdom of smaller, smarter crowds.

Daniel G. Goldstein, Randolph Preston McAfee, Siddharth Suri

Proceedings of the ACM Conference on Economics and Computation, 2014

2013

The cost of annoying ads.

Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri

Proceedings of the 22nd International World Wide Web Conference, 2013

2012

Improving the effectiveness of time-based display advertising.

Daniel G. Goldstein, Randolph Preston McAfee, Siddharth Suri

Proceedings of the 13th ACM Conference on Electronic Commerce, 2012

The structure of online diffusion networks.

Sharad Goel, Duncan J. Watts, Daniel G. Goldstein

Proceedings of the 13th ACM Conference on Electronic Commerce, 2012

2011

The effects of exposure time on memory of display advertisements.

Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri

Proceedings of the Proceedings 12th ACM Conference on Electronic Commerce (EC-2011), 2011

Honesty in an Online Labor Market.

Siddharth Suri, Daniel G. Goldstein, Winter A. Mason

Proceedings of the Human Computation, 2011