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Robert A. Kaufman
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2020 – today
- 2024
- [i4]Robert A. Kaufman, David Kirsh, Nadir Weibel:
Developing Situational Awareness for Joint Action with Autonomous Vehicles. CoRR abs/2404.11800 (2024) - [i3]Robert A. Kaufman, Aaron Broukhim, David Kirsh, Nadir Weibel:
What Did My Car Say? Impact of Autonomous Vehicle Explanation Errors and Driving Context On Comfort, Reliance, Satisfaction, and Driving Confidence. CoRR abs/2409.05731 (2024) - [i2]Robert A. Kaufman, Emi Lee, Manas Satish Bedmutha, David Kirsh, Nadir Weibel:
Predicting Trust In Autonomous Vehicles: Modeling Young Adult Psychosocial Traits, Risk-Benefit Attitudes, And Driving Factors With Machine Learning. CoRR abs/2409.08980 (2024) - 2023
- [i1]Robert A. Kaufman, David Kirsh:
Explainable AI And Visual Reasoning: Insights From Radiology. CoRR abs/2304.03318 (2023) - 2022
- [j1]Robert A. Kaufman, Michael Robert Haupt, Steven P. Dow:
Who's in the Crowd Matters: Cognitive Factors and Beliefs Predict Misinformation Assessment Accuracy. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-18 (2022) - [c4]Michael J. Pazzani, Severine Soltani, Robert A. Kaufman, Samson Qian, Albert Hsiao:
Expert-Informed, User-Centric Explanations for Machine Learning. AAAI 2022: 12280-12286 - [c3]Robert A. Kaufman, David Kirsh:
Cognitive Differences in Human and AI Explanation. CogSci 2022 - [c2]Severine Soltani, Robert A. Kaufman, Michael J. Pazzani:
User-Centric Enhancements to Explainable AI Algorithms for Image Classification. CogSci 2022 - 2021
- [c1]Felix Jedidja Binder, Cameron Jones, Robert A. Kaufman, Naomi T. Lin, Crystal R. Poole, Ed Vul:
Cognitive cost and information gain trade off in a large-scale number guessing game. CogSci 2021
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