Nuno Moura Lopes, Manuela Aparicio, Fátima Trindade Neves
{"title":"模拟训练中飞行员个人表现的驱动因素分析","authors":"Nuno Moura Lopes, Manuela Aparicio, Fátima Trindade Neves","doi":"10.1016/j.chbr.2025.100731","DOIUrl":null,"url":null,"abstract":"<div><div>Simulation is a cornerstone of pilot training and safety in aviation. This study investigates the determinants of pilots' individual performance in simulation environments through a novel theoretical model grounded in the Information Systems Success Model, Cognitive Fit Theory, and Situation Awareness (SA). Using survey data from 233 pilots and structural equation modeling (SEM-PLS), we find that SA, perceived task technological fit, and musical intelligence significantly and directly influence performance. Our model explains 40 % of the variance in individual performance. Notably, technostress does not significantly impact SA, but trust in technology influences both technostress and perceived fit. These findings highlight the critical roles of digital tools, cognitive alignment, and musical intelligence in enhancing simulation training outcomes.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"19 ","pages":"Article 100731"},"PeriodicalIF":4.9000,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analyzing the drivers of pilots' individual performance in simulation training\",\"authors\":\"Nuno Moura Lopes, Manuela Aparicio, Fátima Trindade Neves\",\"doi\":\"10.1016/j.chbr.2025.100731\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Simulation is a cornerstone of pilot training and safety in aviation. This study investigates the determinants of pilots' individual performance in simulation environments through a novel theoretical model grounded in the Information Systems Success Model, Cognitive Fit Theory, and Situation Awareness (SA). Using survey data from 233 pilots and structural equation modeling (SEM-PLS), we find that SA, perceived task technological fit, and musical intelligence significantly and directly influence performance. Our model explains 40 % of the variance in individual performance. Notably, technostress does not significantly impact SA, but trust in technology influences both technostress and perceived fit. These findings highlight the critical roles of digital tools, cognitive alignment, and musical intelligence in enhancing simulation training outcomes.</div></div>\",\"PeriodicalId\":72681,\"journal\":{\"name\":\"Computers in human behavior reports\",\"volume\":\"19 \",\"pages\":\"Article 100731\"},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2025-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers in human behavior reports\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2451958825001460\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers in human behavior reports","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2451958825001460","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, EXPERIMENTAL","Score":null,"Total":0}
Analyzing the drivers of pilots' individual performance in simulation training
Simulation is a cornerstone of pilot training and safety in aviation. This study investigates the determinants of pilots' individual performance in simulation environments through a novel theoretical model grounded in the Information Systems Success Model, Cognitive Fit Theory, and Situation Awareness (SA). Using survey data from 233 pilots and structural equation modeling (SEM-PLS), we find that SA, perceived task technological fit, and musical intelligence significantly and directly influence performance. Our model explains 40 % of the variance in individual performance. Notably, technostress does not significantly impact SA, but trust in technology influences both technostress and perceived fit. These findings highlight the critical roles of digital tools, cognitive alignment, and musical intelligence in enhancing simulation training outcomes.