M. Schneeberger, L. Paletta, K. Wolfgang Kallus, Lilian Reim, Christian Schönauer, Andreas Peer, Richard Feischl, G. Aumayr, M. Pszeida, Amir Dini, Stefan Ladstätter, A. Weber, A. Almer, D. Wallner
{"title":"First Responder Situation Reporting in Virtual Reality Training with Evaluation of Cognitive-emotional Stress using Psychophysiological Measures","authors":"M. Schneeberger, L. Paletta, K. Wolfgang Kallus, Lilian Reim, Christian Schönauer, Andreas Peer, Richard Feischl, G. Aumayr, M. Pszeida, Amir Dini, Stefan Ladstätter, A. Weber, A. Almer, D. Wallner","doi":"10.54941/ahfe1001841","DOIUrl":null,"url":null,"abstract":"First responders engage in highly stressful situations at the emergency site that may induce stress, fear, panic and a collapse of clear thinking. Staying cognitively under control under these circumstances is a necessary condition to avoid useless risk-taking and particularly to provide accurate situation reports to remote units to be able to organize appropriate support in time. This work applied a flexible virtual reality (VR) training environment with the purpose to investigate the performance of reporting under rather realistically simulated mission conditions. In a pilot study, representative emergency forces of the Austrian volunteer fire brigade and paramedics of the Johanniter organization were subjected to a test program that tested a formalized reporting schema (LEDVV), inducing equivalent strain in both, real environment and VR-based training scenarios. Wearable psychophysiological measuring technology was applied to estimate the cognitive-emotional stress level under both training conditions. The results indicate that both situation reports achieve a rather high level of cognitive-emotional stress and should be thoroughly trained. Furthermore, the results motivate the use of VR environments for the training of stress-resilient decision-making behavior of emergency forces.","PeriodicalId":285612,"journal":{"name":"Cognitive Computing and Internet of Things","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cognitive Computing and Internet of Things","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54941/ahfe1001841","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
First responders engage in highly stressful situations at the emergency site that may induce stress, fear, panic and a collapse of clear thinking. Staying cognitively under control under these circumstances is a necessary condition to avoid useless risk-taking and particularly to provide accurate situation reports to remote units to be able to organize appropriate support in time. This work applied a flexible virtual reality (VR) training environment with the purpose to investigate the performance of reporting under rather realistically simulated mission conditions. In a pilot study, representative emergency forces of the Austrian volunteer fire brigade and paramedics of the Johanniter organization were subjected to a test program that tested a formalized reporting schema (LEDVV), inducing equivalent strain in both, real environment and VR-based training scenarios. Wearable psychophysiological measuring technology was applied to estimate the cognitive-emotional stress level under both training conditions. The results indicate that both situation reports achieve a rather high level of cognitive-emotional stress and should be thoroughly trained. Furthermore, the results motivate the use of VR environments for the training of stress-resilient decision-making behavior of emergency forces.