PROTEA-M: MULTIMODAL FRAMEWORK FOR INCLUSIVE COMMUNICATION IN FLOOD SITUATIONS

Abstract

Early warning systems are the main tool for notifying and guiding the population in emergency situations; however, they still rely on standardized messages that do not consider cognitive and communicative differences. This limitation directly affects individuals with Autism Spectrum Disorder, who require structured and predictable forms of information organization for understanding and decision-making in risk contexts. This study presents the PROTEA-M framework (Program for Readiness and Organized Training in Emergencies for Autistic Individuals - Multimodal), a multimodal predictive-generative model designed to produce inclusive content for preparedness in flood scenarios. The model estimates the communicative profile and intervention plan and, based on this estimation, generates personalized Social Stories. The predictive module employs an ensemble of Extreme Learning Machines with evidence fusion and probabilistic calibration, achieving superior performance compared to baselines, with accuracy of 0.6923 and ROC-AUC of 0.9782, in addition to improved probabilistic quality. The generative module produces multimodal narratives using language models, translating clinical variables into structured visual and textual sequences. PROTEA-M contributes to the advancement of early warning systems by incorporating communicative personalization and cognitive accessibility.

Author Biographies

Danilo Monteiro Souza, Polytechnic School of the University of Pernambuco

Flutter mobile developer, specialized in responsive design and application integration using REST APIs. Bachelor's degree in Computer Engineering from Universidade Paulista and Master's degree in Computer Engineering from the University of Pernambuco. Certified as a Professional Scrum Master by Scrum.org and as a Flutter Developer by AndroidATC.

Sérgio Murilo Maciel Fernandes, Polytechnic School of the University of Pernambuco

Graduated in Electrical Engineering from the Federal University of Pernambuco (1978), Master's degree in Electrical Engineering from the Federal University of Pernambuco (1995), and Ph.D. in Computer Science from the Center for Informatics of the Federal University of Pernambuco (2007). Associate Professor II at the Catholic University of Pernambuco and at the Polytechnic School of the University of Pernambuco.

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How to Cite

Souza, D. M., & Fernandes, S. M. M. (2026). PROTEA-M: MULTIMODAL FRAMEWORK FOR INCLUSIVE COMMUNICATION IN FLOOD SITUATIONS. RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218, 7(7), e778278. https://doi.org/10.47820/recima21.v7i7.8278