Aakriti Kumar

According to our database, Aakriti Kumar authored at least 11 papers between 2021 and 2025.

Collaborative distances:

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

2025

When Large Language Models are Reliable for Judging Empathic Communication.

Aakriti Kumar, Nalin Poungpeth, Diyi Yang, Erina Farrell, Bruce Lambert, Matthew Groh

CoRR, June, 2025

What large language models know and what people think they know.

Mark Steyvers, Heliodoro Tejeda Lemus, Aakriti Kumar, Catarina G. Belém, Sheer Karny, Xinyue Hu, Lukas William Mayer, Padhraic Smyth

Nat. Mac. Intell., 2025

Characterizing Photorealism and Artifacts in Diffusion Model-Generated Images.

Negar Kamali, Karyn Nakamura, Aakriti Kumar, Angelos Chatzimparmpas, Jessica Hullman, Matthew Groh

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

2024

Human Mental Models of Self, Others, and AI Agents

Aakriti Kumar

PhD thesis, 2024

The Calibration Gap between Model and Human Confidence in Large Language Models.

Mark Steyvers, Heliodoro Tejeda Lemus, Aakriti Kumar, Catarina G. Belém, Sheer Karny, Xinyue Hu, Lukas William Mayer, Padhraic Smyth

CoRR, 2024

2023

When Do Drivers Intervene In Autonomous Driving?

Aakriti Kumar, Kumar Akash, Shashank Mehrotra, Teruhisa Misu, Mark Steyvers

Proceedings of the Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

How Displaying AI Confidence Affects Reliance and Hybrid Human-AI Performance.

Heliodoro Tejeda Lemus, Aakriti Kumar, Mark Steyvers

Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023

Capturing Humans' Mental Models of AI: An Item Response Theory Approach.

Markelle Kelly, Aakriti Kumar, Padhraic Smyth, Mark Steyvers

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

An Empirical Investigation of Reliance on AI-Assistance in a Noisy-Image Classification Task.

Heliodoro Tejeda Lemus, Aakriti Kumar, Mark Steyvers

Proceedings of the HHAI 2022: Augmenting Human Intellect, 2022

Meta-Learning of Dynamic Policy Adjustments in Inhibitory Control Tasks.

Soumya Chatterjee, Aakriti Kumar, Pradeep Shenoy

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

2021

Explaining Algorithm Aversion with Metacognitive Bandits.

Aakriti Kumar, Trisha Patel, Aaron S. Benjamin, Mark Steyvers

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