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Virginia Tech

Evaluating Trust in AI-Assisted Bridge Inspection through VR

Abstract

dc:description.abstract

The integration of Artificial Intelligence (AI) in collaborative tasks has gained momentum, with particular implications for critical infrastructure maintenance. This study examines the assurance goals of AI—security, explainability, and trustworthiness—within Virtual Reality (VR) environments for bridge maintenance. Adopting a within-subjects design approach, this research leverages VR environments to simulate real-world bridge maintenance scenarios and gauge user interactions with AI tools. With the industry transitioning from paper-based to digital bridge maintenance, this investigation underscores the imperative roles of security and trust in adopting AI-assisted methodologies. Recent advancements in AI assurance within critical infrastructure highlight its monumental role in ensuring safe, explainable, and trustworthy AI-driven solutions.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Computer Science & Applications
Department dc:contributor.department
Computer Science and Applications
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2024

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Pathak, Jignasu Yagnesh
Chairs dc:contributor.committeechair
  • Lourentzou, Ismini
  • Sarlo, Rodrigo
Committee member dc:contributor.committeemember
  • Luther, Kurt

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • In Copyright
Language dc:language.iso
en

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:39157
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/117917

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Pathak, Jignasu Yagnesh. Evaluating Trust in AI-Assisted Bridge Inspection through VR. masters thesis, Virginia Tech, 2024. https://hdl.handle.net/10919/117917