Date of Award
6-15-2024
Document Type
Masters Thesis
Degree Name
M.S. in Computer Science
Organizational Unit
Daniel Felix Ritchie School of Engineering and Computer Science, Computer Science
First Advisor
Kerstin S. Haring
Second Advisor
Christopher Reardon
Third Advisor
Daniel Pittman
Fourth Advisor
Pilyoung Kim
Keywords
Human-computer interaction, Human-robot teaming, Robot design, Robotics, Theory of mind
Abstract
This thesis explores human perception of robots through the use of novel tools and technologies. First, the impact of Augmented Reality (AR) data presentation on human perception of robots is investigated. A study conducted with the AR human-robot teaming system found that robot performance significantly influenced participants’ perceptions, overshadowing the impact of matching or mismatching robot confidence feedback. Second, the DU Want to Build-A-Bot platform is presented, which enables participatory robot design and opens the door for novel research of how robot design affects human perception. The Build-A-Bot platform enables the collection of diverse robot designs, facilitating machine learning analysis to pinpoint key design features that shape human mental models of robot capabilities.
Copyright Date
6-2024
Copyright Statement / License for Reuse
All Rights Reserved.
Publication Statement
Copyright is held by the author. User is responsible for all copyright compliance.
Rights Holder
Benjamin Dossett
Provenance
Received from ProQuest
File Format
application/pdf
Language
English (eng)
Extent
244 pgs
File Size
28.2 MB
Recommended Citation
Dossett, Benjamin, "Bridging Design and Perception: Novel Tools and Technologies for Creating Effective Human-Robot Interactions" (2024). Electronic Theses and Dissertations. 2402.
https://digitalcommons.du.edu/etd/2402
Included in
Artificial Intelligence and Robotics Commons, Cognition and Perception Commons, Other Computer Sciences Commons, Robotics Commons