83 citations · 121 across the 9 of their papers we have counts for
9 papers
Enjoy the Ride Consciously with CAWA: Context-Aware Advisory Warnings for Automated Driving
Erfan Pakdamanian, Erzhen Hu, Shili Sheng +3
In conditionally automated driving, drivers decoupled from driving while immersed in non-driving-related tasks (NDRTs) could potentially either miss the system-initiated takeover r…
A Study on Learning and Simulating Personalized Car-Following Driving Style
Shili Sheng, Erfan Pakdamanian, Kyungtae Han +2
Automated vehicles are gradually entering people's daily life to provide a comfortable driving experience for the users. The generic and user-agnostic automated vehicles have limit…
DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data
Erfan Pakdamanian, Shili Sheng, Sonia Baee +3
Automated vehicles promise a future where drivers can engage in non-driving tasks without hands on the steering wheels for a prolonged period. Nevertheless, automated vehicles may…
Planning for Automated Vehicles with Human Trust
Shili Sheng, Erfan Pakdamanian, Kyungtae Han +4
Recent work has considered personalized route planning based on user profiles, but none of it accounts for human trust. We argue that human trust is an important factor to consider…
MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning
Sonia Baee, Erfan Pakdamanian, Inki Kim +3
Inspired by human visual attention, we propose a novel inverse reinforcement learning formulation using Maximum Entropy Deep Inverse Reinforcement Learning (MEDIRL) for predicting…
Discrete Event Simulation of Driver's Routing Behavior Rule at a Road Intersection
Ben Benzaman, Erfan Pakdamanian
Several factors influence traffic congestion and overall traffic dynamics. Simulation modeling has been utilized to understand the traffic performance parameters during traffic con…
A Case Study of Trust on Autonomous Driving
Shili Sheng, Erfan Pakdamanian, Kyungtae Han +4
As autonomous vehicles have benefited the society, understanding the dynamic change of humans' trust during human-autonomous vehicle interaction can help to improve the safety and…
Exploring Gaze Behavior to Assess Performance in Digital Game-Based Learning Systems
Brian An, Inki Kim, Erfan Pakdamanian +1
The recent growth of sophisticated digital gaming technologies has spawned an $8.1B industry around using these games for pedagogical purposes. Though Digital Game-Based Learning…
The Effect of Whole-Body Haptic Feedback on Driver's Perception in Negotiating a Curve
Erfan Pakdamanian, Lu Feng, Inki Kim
It remains uncertain regarding the safety of driving in autonomous vehicles that, after a long, passive control and inattention to the driving situation, how the drivers will be ef…