86 citations
11 papers
The Interaction Gap: A Step Toward Understanding Trust in Autonomous Vehicles Between Encounters
Jacob G. Hunter, Matthew Konishi, Neera Jain +4
Shared autonomous vehicles (SAVs) will be introduced in greater numbers over the coming decade. Due to rapid advances in shared mobility and the slower development of fully autonom…
Identification of Adaptive Driving Style Preference through Implicit Inputs in SAE L2 Vehicles
Zhaobo K. Zheng, Kumar Akash, Teruhisa Misu +4
A key factor to optimal acceptance and comfort of automated vehicle features is the driving style. Mismatches between the automated and the driver preferred driving styles can make…
Effects of Augmented-Reality-Based Assisting Interfaces on Drivers' Object-wise Situational Awareness in Highly Autonomous Vehicles
Xiaofeng Gao, Xingwei Wu, Samson Ho +2
Although partially autonomous driving (AD) systems are already available in production vehicles, drivers are still required to maintain a sufficient level of situational awareness…
Clustering Human Trust Dynamics for Customized Real-time Prediction
Jundi Liu, Kumar Akash, Teruhisa Misu +1
Trust calibration is necessary to ensure appropriate user acceptance in advanced automation technologies. A significant challenge to achieve trust calibration is to quantitatively…
VisuoSpatial Foresight for Physical Sequential Fabric Manipulation
Ryan Hoque, Daniel Seita, Ashwin Balakrishna +6
Robotic fabric manipulation has applications in home robotics, textiles, senior care and surgery. Existing fabric manipulation techniques, however, are designed for specific tasks,…
Toward Adaptive Trust Calibration for Level 2 Driving Automation
Kumar Akash, Neera Jain, Teruhisa Misu
Properly calibrated human trust is essential for successful interaction between humans and automation. However, while human trust calibration can be improved by increased automatio…