Human aspects in Situation Analysis, Resource Control, and Operation Command

This research examines the human-centered aspects of natural disaster management using as a case study environment the Start-up company Husqtec Corp., which is focused on situation and operational management. The created and analyzed solution is an intelligent and innovative MobiJOPA™ product and service concept. This research concentrates on how human-based management of situation analysis, resource control, and operation command is organized during the management of a case study of a disaster. First, this study answers the question “how can user-centred design and modularity enhance the effectiveness and usability of disaster management systems? Second, it introduces how AI-based simulation pedagogy is arranged in an operative environment and how GenAI, VR/XR, and simulation technologies are able to improve training, decision-making, and teamwork for emergency and disaster management teams..The study highlights the critical role of user-centered design, AI-driven decision support, and team cohesion in fostering effective emergency response. This case study prioritizes user-centered design to address the needs of diverse user groups, ensuring inclusivity and accessibility in disaster scenarios. Modular and customizable features enhance the system's adaptability and user experience. AI-Powered Decision Support can be executed by AI tools that provide situational analysis, real-time data assessment, and personalized training to prepare better for responders. Strong cohesion within response teams is achieved through focused training and establishing both T-shaped (broad knowledge with expertise in one area) and X-shaped (interdisciplinary expertise) role profiles. Simulations and VR/XR exercises enhance coordination among agencies, fostering trust and efficient collaboration. This research emphasizes how cohesive teams improve crisis response through swift communication, high morale, and trust. These factors enable quicker, more effective decision-making during critical situations.

Authors

Publication Details

Journal
AHFE international
Published
2025-01-01
DOI
https://doi.org/10.54941/ahfe1006307
Primary Topic
Systems Engineering Methodologies and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Human aspects in Situation Analysis, Resource Control, and Operation Command

Carita Salminen, Vesa Salminen, Matti Pyykkönen
AHFE international
Systems Engineering Methodologies and Applications
article

Human aspects in Situation Analysis, Resource Control, and Operation Command

Carita Salminen, Vesa Salminen, Matti Pyykkönen
article en

Abstract

This research examines the human-centered aspects of natural disaster management using as a case study environment the Start-up company Husqtec Corp., which is focused on situation and operational management. The created and analyzed solution is an intelligent and innovative MobiJOPA™ product and service concept. This research concentrates on how human-based management of situation analysis, resource control, and operation command is organized during the management of a case study of a disaster. First, this study answers the question “how can user-centred design and modularity enhance the effectiveness and usability of disaster management systems? Second, it introduces how AI-based simulation pedagogy is arranged in an operative environment and how GenAI, VR/XR, and simulation technologies are able to improve training, decision-making, and teamwork for emergency and disaster management teams..The study highlights the critical role of user-centered design, AI-driven decision support, and team cohesion in fostering effective emergency response. This case study prioritizes user-centered design to address the needs of diverse user groups, ensuring inclusivity and accessibility in disaster scenarios. Modular and customizable features enhance the system's adaptability and user experience. AI-Powered Decision Support can be executed by AI tools that provide situational analysis, real-time data assessment, and personalized training to prepare better for responders. Strong cohesion within response teams is achieved through focused training and establishing both T-shaped (broad knowledge with expertise in one area) and X-shaped (interdisciplinary expertise) role profiles. Simulations and VR/XR exercises enhance coordination among agencies, fostering trust and efficient collaboration. This research emphasizes how cohesive teams improve crisis response through swift communication, high morale, and trust. These factors enable quicker, more effective decision-making during critical situations.

AHFE internationalVol. 176
Openalex Percentile: Top 83%
Systems Engineering Methodologies and Applications
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