A. Almer, A. Weber, Florian Haid, Julia Tschuden, L. Paletta, M. Schneeberger, D. Wallner, Paul Glanz, Philip Klöckl, Dominik Eder, Gerald Bauer, Oliver Kühr, T. Hölzl
{"title":"Physiological and cognitive real-time stress analysis as a basis for\u0000 optimised human-machine teaming and safe decision processes for military\u0000 forces","authors":"A. Almer, A. Weber, Florian Haid, Julia Tschuden, L. Paletta, M. Schneeberger, D. Wallner, Paul Glanz, Philip Klöckl, Dominik Eder, Gerald Bauer, Oliver Kühr, T. Hölzl","doi":"10.54941/ahfe1004151","DOIUrl":"https://doi.org/10.54941/ahfe1004151","url":null,"abstract":"Introduction In recent decades, the development of autonomous\u0000 cyber-physical systems for a wide range of tasks has been the focus of\u0000 research activities for military organisations. Modern security forces can\u0000 be seen as socio-technical systems. Only an integrated approach, in which\u0000 people, organisation and technology are viewed as interlocking elements,\u0000 enables the optimisation of the overall system. Soldiers are still at the\u0000 center of deployed sociotechnical systems despite major innovations in the\u0000 field of autonomous systems and artificial intelligence (Swiss, 2020). An\u0000 efficient and coordinated interaction in a task force and an optimised\u0000 human-machine teaming are essential prerequisites for a successful operation\u0000 and thus also for increasing the safety of the soldiers in critical\u0000 operational situations. This requires, on the one hand, optimal HMI\u0000 development, but also, on the other hand, information about the mental and\u0000 physical state of the soldier to provide improved decision processes and\u0000 operational performance. Information on a common operational picture and the\u0000 status of the technical systems used is usually available, but not the\u0000 psychophysical situation of the soldier. Therefore extensive development\u0000 projects have been launched for solutions of psycho-physiological\u0000 monitoring, with new possibilities arising from innovative developments in\u0000 the field of bio-sensor technology. The aim is to optimise human performance\u0000 in the field and the interaction between man and machine with highly\u0000 sophisticated mission equipment. An important success factor in complex\u0000 operations is the quality of the necessary decisions (decision intelligence)\u0000 in time-critical security situations, whereby the current psychophysical\u0000 stress state of the person is a decisive factor. Therefore, an ongoing\u0000 challenge for the military task forces is managing personnel to optimise and\u0000 sustain performance, improve security while also ensuring health and\u0000 wellbeing. In the course of intensive training and exercises as well as in\u0000 real operational scenarios, soldiers often suffer physiological and\u0000 psychological borderline stresses and injuries during physical and\u0000 combat-related training. In this context efficient solutions for the\u0000 physiological monitoring of soldiers based on the integration of innovative\u0000 biosensor technology and specific load models considering load\u0000 characteristics of different military forces will enable a targeted\u0000 support.Motivation and Background The challenging military work tasks are\u0000 often associated with a high degree of physical stress and require a high\u0000 level of mental performance and concentration. Reduced concentration and\u0000 reaction cause delayed or possibly even wrong decisions, which can have\u0000 critical consequences. In this context a real-time system for physiological\u0000 status monitoring (RT-PSM) offers new opportunities for military purpose\u0000 with individual assessment of soldiers' performance limits. However, most\u0000 ","PeriodicalId":231376,"journal":{"name":"Human Systems Engineering and Design (IHSED 2023): Future Trends\n and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130229987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}