Analysis of Drone-Assisted Building Inspection Training in VR vs. 2D Monitor Display: An EEG Study

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Authors: L. Pengkun, Jackson Greene, Jiali Huang, Pingbo Tang, Yu Hou
Cited by: 0
References: 13

Abstract

Researchers have been using simulation-based methods for drone-assisted inspection training. Multiple brain regions are associated with information processes and decision-making, and the connectivity of these regions may further influence inspectors’ performance. However, researchers do not understand the pathways of the information flows when drone pilots process the maintenance and manipulation of information, which may affect the efficiency of tacit knowledge transfer. This study aims to reveal the causal connection between participants’ brain regions using an electroencephalogram and dynamic causal modeling when processing drone-assisted building energy audit tasks using different display modalities. The results showed similar single-direction connectivity patterns for the different simulation groups. The results also showed similar patterns between brain regions related to visual inspection performance before and after training. These findings highlight the nature of brain asymmetries and may be utilized in measuring cognitive states and designing adaptive automation in the knowledge transfer of drone-based inspection.

Fields of Study & Subjects

Human-Automation Interaction and Safety EEG and Brain-Computer Interfaces Virtual Reality Applications and Impacts

Publication details

Journal / source
ASCE International Conference on Computing in Civil Engineering (i3CE)
Pages
1000–1009
Publication date
28 January 2026
Language
EN