34 citations · 87 across the 14 of their papers we have counts for
15 papers
Using Trust for Heterogeneous Human-Robot Team Task Allocation
Arsha Ali, Hebert Azevedo-Sa, Dawn M. Tilbury +1
Human-robot teams have the ability to perform better across various tasks than human-only and robot-only teams. However, such improvements cannot be realized without proper task al…
From the Head or the Heart? An Experimental Design on the Impact of Explanation on Cognitive and Affective Trust
Qiaoning Zhang, X. Jessie Yang, Lionel P. Robert
Automated vehicles (AVs) are social robots that can potentially benefit our society. According to the existing literature, AV explanations can promote passengers' trust by reducing…
A Unified Bi-directional Model for Natural and Artificial Trust in Human-Robot Collaboration
Hebert Azevedo-Sa, X. Jessie Yang, Lionel P. Robert +1
We introduce a novel capabilities-based bi-directional multi-task trust model that can be used for trust prediction from either a human or a robotic trustor agent. Tasks are repres…
Using Trust in Automation to Enhance Driver-(Semi)Autonomous Vehicle Interaction and Improve Team Performance
Hebert Azevedo-Sa, X. Jessie Yang, Lionel P. Robert +1
Trust in robots has been gathering attention from multiple directions, as it has special relevance in the theoretical descriptions of human-robot interactions. It is essential for…
Personality in Healthcare Human Robot Interaction (H-HRI): A Literature Review and Brief Critique
Connor Esterwood, Lionel P. Robert
Robots are becoming an important way to deliver health care, and personality is vital to understanding their effectiveness. Despite this, there is a lack of a systematic overarchin…
Efficient Behavior-aware Control of Automated Vehicles at Crosswalks using Minimal Information Pedestrian Prediction Model
Suresh Kumaar Jayaraman, Lionel P. Robert, Xi Jessie Yang +2
For automated vehicles (AVs) to reliably navigate through crosswalks, they need to understand pedestrians crossing behaviors. Simple and reliable pedestrian behavior models aid in…