Presentation
Barriers and Facilitators to Integrating AI and XR Technologies for Aircraft Inspection
DescriptionThis study examines the challenges and benefits associated with the adoption of artificial intelligence (AI) and extended reality (XR) technologies in aircraft inspection, aiming to enhance operational efficiency, ease of use, and reduce inspection time. Semi-structured interviews were conducted with 43 aircraft technicians, comprising 10 online and 33 in-person participants. The in-person interviews primarily focused on identifying existing challenges and perceptions of AI, while the online interviews presented four hypothetical inspection scenarios to explore specific barriers. Key challenges identified include the development of a multimodal system, the design of explainable and transparent AI systems that foster user trust, effective transfer of expertise from experienced to novice technicians, the implementation challenge to subsurface defect detection algorithms, AI as a search and organizational tool, and training costs. These findings contribute to a deeper understanding of the factors influencing the development of AI-enabled XR systems for aircraft inspection and the practical needs of technicians.
Contributors
Event Type
Lecture
TimeFriday, October 17th8:40am - 9am CDT
LocationGrand B
Student Forum