activity
20172021
most citedModeling and Predicting Trust Dynamics in Human-Robot Teaming: A Bayesian Inference Approach

7 citations · 13 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2021

Reverse Psychology in Trust-Aware Human-Robot Interaction

Yaohui Guo, Cong Shi, X. Jessie Yang

To facilitate effective human-robot interaction (HRI), trust-aware HRI has been proposed, wherein the robotic agent explicitly considers the human's trust during its planning and d…

cs.HC20207 cited

Modeling and Predicting Trust Dynamics in Human-Robot Teaming: A Bayesian Inference Approach

Yaohui Guo, X. Jessie Yang

Trust in automation, or more recently trust in autonomy, has received extensive research attention in the past two decades. The majority of prior literature adopted a "snapshot" vi…

cs.RO2019

Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field

Yaohui Guo, Vinay Varma Kalidindi, Mansur Arief +4

Autonomous vehicles are expected to navigate in complex traffic scenarios with multiple surrounding vehicles. The correlations between road users vary over time, the degree of whic…

cs.LG20171 cited

A Versatile Approach to Evaluating and Testing Automated Vehicles based on Kernel Methods

Zhiyuan Huang, Yaohui Guo, Henry Lam +1

Evaluation and validation of complicated control systems are crucial to guarantee usability and safety. Usually, failure happens in some very rarely encountered situations, but onc…

cs.CY20175 cited

TrafficNet: An Open Naturalistic Driving Scenario Library

Ding Zhao, Yaohui Guo, Yunhan Jack Jia

The enormous efforts spent on collecting naturalistic driving data in the recent years has resulted in an expansion of publicly available traffic datasets, which has the potential…