Aakriti Kumar


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I am a Ph.D. student in the Department of Cognitve Sciences at UC Irvine where I am advised by Mark Steyvers. In my research, I combine computational cognitive modeling and behavioral experiments to better understand human learning and decision-making. Currently, I am exploring the dynamics of machine-assisted human decision-making.


Research

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Human Decisions with Machine Assistance
Investigating strategies to counter cognitive biases such as algorithm aversion and automation bias to help humans calibrate their trust in machine predictions.

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Learning and Retention in Large-scale Cognitive Training Datasets
In preparation
Leveraging large-scale data from Lumosity games to analyze the learning trajectories across individuals and cognitive tasks over time.

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Why Most Studies of Individual Differences With Inhibition Tasks Are Bound To Fail
Jeffrey N. Rouder, Aakriti Kumar, Julia M. Haaf
It has been observed that people’s performances across inhibition tasks show very low correlation. An example is the lack of correlation among performances on the Stroop task and the flanker task. In this paper, we ask whether these low correlations reflect excessive measurement noise or truly unrelated processing.

           

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