Robert A. Kaufman

According to our database, Robert A. Kaufman authored at least 9 papers between 2021 and 2024.

Collaborative distances:

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

2024

Predicting Trust In Autonomous Vehicles: Modeling Young Adult Psychosocial Traits, Risk-Benefit Attitudes, And Driving Factors With Machine Learning.

Robert A. Kaufman, Emi Lee, Manas Satish Bedmutha, David Kirsh, Nadir Weibel

CoRR, 2024

What Did My Car Say? Impact of Autonomous Vehicle Explanation Errors and Driving Context On Comfort, Reliance, Satisfaction, and Driving Confidence.

Robert A. Kaufman, Aaron Broukhim, David Kirsh, Nadir Weibel

CoRR, 2024

Developing Situational Awareness for Joint Action with Autonomous Vehicles.

Robert A. Kaufman, David Kirsh, Nadir Weibel

CoRR, 2024

2023

Explainable AI And Visual Reasoning: Insights From Radiology.

Robert A. Kaufman, David Kirsh

CoRR, 2023

2022

Who's in the Crowd Matters: Cognitive Factors and Beliefs Predict Misinformation Assessment Accuracy.

Robert A. Kaufman, Michael Robert Haupt, Steven P. Dow

Proc. ACM Hum. Comput. Interact., 2022

User-Centric Enhancements to Explainable AI Algorithms for Image Classification.

Severine Soltani, Robert A. Kaufman, Michael J. Pazzani

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Cognitive Differences in Human and AI Explanation.

Robert A. Kaufman, David Kirsh

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Expert-Informed, User-Centric Explanations for Machine Learning.

Michael J. Pazzani, Severine Soltani, Robert A. Kaufman, Samson Qian, Albert Hsiao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Cognitive cost and information gain trade off in a large-scale number guessing game.

Felix Jedidja Binder, Cameron Jones, Robert A. Kaufman, Naomi T. Lin, Crystal R. Poole, Ed Vul

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021