Internal consistency (Cronbach’s α), inter-rater reliability for scoring (Fleiss’ κ), Pearson correlations, logistic regression.
We conducted semi-structured interviews with 20 certified UAS operators (mean flight hours: 450). Using the Critical Incident Technique (Flanagan, 1954), we asked: “Describe a situation where you had to choose between two or more acceptable but conflicting actions.” This yielded 78 raw scenarios, later reduced to 30 unique items covering: sit uas
In recent years, Unmanned Aerial Systems (UAS), also known as drones, have become increasingly popular across various industries, including construction, agriculture, and infrastructure inspection. One of the most exciting developments in this field is the emergence of SIT UAS, a cutting-edge technology that combines the power of artificial intelligence (AI) with the versatility of drones. In this feature, we'll explore the world of SIT UAS and how it's transforming the way we inspect and monitor our surroundings. One of the most exciting developments in this
Higher SIT-UAS scores were associated with faster response to lost link events (M = 8.1 s vs. 12.4 s, t(148) = 4.2, p < .001). No significant gender or prior flight hours effect was found. t(148) = 4.2