SARGPT: a tailored AI tool with a custom-designed interface for enhancing search and rescue teams' performance
Tutor / Supervisor
Student
Kurnaz, Ozkan Berk
Document type
Master thesis
Date
2024
rights
Open Access
Publisher
Universitat Politècnica de Catalunya
UPCommons
Abstract
This thesis presents the design and development of an intuitive, user-friendly application
specifically tailored for critical search and rescue (SAR) operations. The primary focus of this
research is the integration of artificial intelligence (AI) to enhance the efficiency and
effectiveness of SAR teams. By automating data processing and task management, the
application aims to reduce the cognitive load on personnel, allowing them to perform their
duties more efficiently under stressful and time-sensitive conditions.
Key features of the application include a user-centric interface designed to ensure ease of use,
even in high-pressure scenarios. The visual design incorporates clear and comprehensible
icons, calming color schemes, and an efficient layout that allows for quick access to essential
functions. Offline capabilities ensure that SAR teams can access critical information and tools
even in remote areas without connectivity. Additionally, AI-supported automated processes
such as form filling and task allocation significantly reduce administrative burdens, thereby
increasing the speed and accuracy of operations.
The application also includes continuous training and development support, providing SAR
personnel with personalized learning paths to continuously improve their skills and knowledge.
This integration of AI technologies and user-friendly interface design aims to streamline
communication, enhance decision-making, and improve operational outcomes during critical
incidents.
In conclusion, the study demonstrates that the incorporation of AI-enhanced, user-centric
interfaces can substantially improve the operational efficiency and effectiveness of SAR
operations. The insights gained from this research offer valuable contributions to the future
design and implementation of AI-driven tools for emergency response applications.
