Dissertation/Thesis Abstract

Effects of Proactive Explanations by Autonomous Systems on Human-Robot Trust
by Zhu, Lixiao, M.S., Colorado School of Mines, 2020, 58; 27964130
Abstract (Summary)

Human-Robot Interaction (HRI) seeks understanding, designing, and evaluating of robots for human-robot teams. Previous research has indicated that the performance of human-robot teams depends on human-robot trust, which in turn depends on appropriate robot-to-human transparency. In this thesis, we explore one strategy for improving robot transparency, proactive explanations, and its effect on the human-robot trust. We also introduce a resource management testbed, in which human participants engage in a resource management exercise while a robot teammate performs an assistive task. Our results suggest that there is a positive relationship between providing proactive explanations and human-robot trust.

Indexing (document details)
Advisor: Williams, Thomas
Commitee:
School: Colorado School of Mines
Department: Computer Science
School Location: United States -- Colorado
Source: MAI 82/1(E), Masters Abstracts International
Source Type: DISSERTATION
Subjects: Computer science
Keywords: Human-robot interaction, Human-robot trust, Proactive explanations
Publication Number: 27964130
ISBN: 9798662436442
Copyright © 2020 ProQuest LLC. All rights reserved. Terms and Conditions Privacy Policy Cookie Policy
ProQuest