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
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

Available for download on Thursday, July 31, 2025



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