RESUMO:
In this project, a mobile-based decision support system was developed that can assess theperceived stress level of employees working in isolated, limited, and extreme environmentalconditions such as polar regions and offer appropriate support suggestions. In the study, thePerceived Stress Scale (PSS-10) was digitized to determine the individual's stress level, userresponses were automatically scored within the software, and items requiring reverse scoringwere processed by the system to calculate the total stress score. The obtained scores wereclassified as low, medium, high, and very high stress levels according to the determinedthreshold values. The system was designed not only to perform instantaneous assessments butalso to record past measurements, allowing for monitoring changes in stress levels over time. Inaddition, the application was designed to work offline, offer multilingual use, and securely storeuser data within the device. Five simulations were performed using different stress scores toevaluate the functionality of the developed structure. As a result of the observations, it wasdetermined that the algorithm correctly classified different stress levels and consistentlygenerated recommendations corresponding to each level. Consequently, this project hasdeveloped an innovative mobile stress assessment system suitable for polar conditions, capableof offline operation, multilingual, and based on psychometric measurement. Furthermore, theproject has the potential to contribute to strengthening the human-centered technologicalinfrastructure within the scope of polar research and polar vision worldwide by offering adomestically developed software-based digital health solution. In this respect, the studyproposes a model th