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07/14/2023
Unveiling the Impact of Cognitive Distraction on Cyclists Psycho-behavioral Responses in an Immersive Virtual Environment
The National Highway Traffic Safety Administration reported that the num...
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12/22/2022
Occupant Privacy Perception, Awareness, and Preferences in Smart Office Environments
Building management systems tout numerous benefits, such as energy effic...
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10/03/2022
Rethinking infrastructure design: Evaluating pedestrians and VRUs' psychophysiological and behavioral responses to different roadway designs
The integration of human-centric approaches has gained more attention re...
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05/23/2022
The Impact of Surrounding Road Objects and Conditions on Drivers Abrupt Heart Rate Changes
Recent studies have pointed out the importance of mitigating drivers str...
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05/12/2022
How are Drivers' Stress Levels and Emotions Associated with the Driving Context? A Naturalistic Study
Understanding and mitigating drivers' negative emotions, stress levels, ...
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03/17/2022
On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks
Capturing aleatoric uncertainty is a critical part of many machine learn...
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03/14/2022
Orchestrated Value Mapping for Reinforcement Learning
We present a general convergent class of reinforcement learning algorith...
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03/02/2022
Driver State Modeling through Latent Variable State Space Framework in the Wild
Analyzing the impact of the environment on drivers' stress level and wor...
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02/27/2022
Roadway Design Matters: Variation in Bicyclists' Psycho-Physiological Responses in Different Urban Roadway Designs
As a healthier and more sustainable way of mobility, cycling has been ad...
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10/04/2021
Multimodal Driver State Modeling through Unsupervised Learning
Naturalistic driving data (NDD) can help understand drivers' reactions t...
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04/28/2021
Driver State and Behavior Detection Through Smart Wearables
Integrating driver, in-cabin, and outside environment's contextual cues ...
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10/28/2020
Learning to Represent Action Values as a Hypergraph on the Action Vertices
Action-value estimation is a critical component of many reinforcement le...
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07/24/2019
A neural network oracle for quantum nonlocality problems in networks
Characterizing quantum nonlocality in networks is a challenging problem....
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06/03/2019
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning
In an effort to better understand the different ways in which the discou...
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11/27/2018
Prioritizing Starting States for Reinforcement Learning
Online, off-policy reinforcement learning algorithms are able to use an ...
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11/24/2017