Banca de DEFESA: JAZIEL SOUZA LOBO

Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.
STUDENT : JAZIEL SOUZA LOBO
DATE: 06/12/2022
TIME: 09:00
LOCAL: Virtual (online)
TITLE:

UAware Alert: A Context-aware platform for accessible disaster alerts.

KEY WORDS:

Early Warning Systems, Context Awareness, Accessibility, Crisis Communication, Emergency Management.

PAGES: 153
BIG AREA: Ciências Exatas e da Terra
AREA: Ciência da Computação
SUBÁREA: Metodologia e Técnicas da Computação
SPECIALTY: Sistemas de Informação
SUMMARY:

Contextualization: Natural disasters lead to damage and loss of life around the world. Early Warning Systems (EWS) are systems that send alerts, in advance, to warn the population about these events. Prediction institutions send information about events that can cause disasters in a standard file format known as CAP. In general, an EWS receives a CAP file, extracts its data, and sends warnings to the population. Most EWS does not consider the specific needs of vulnerable groups, and send the same alert to everyone, whether they are, e.g., visually or hearing impaired people, or are in an area with a higher level of risk for the event. Objective: Given the context, the aim of this study is to purpose an EWS to warn people (vulnerable groups or not) who are in risk areas. Method: This research was carried out through a combination approach of the following methods: Systematic Mapping Study, exploratory studies, and empirical studies. Exploratory studies, through semi-structured interviews, served to achieve more familiarity with the research problem. Based on these studies, a context model, behavioral rules, and an automated process for creating an accessible resources library were proposed, in order to enable the development of an EWS that sends alerts to different groups of users. Finally, the evaluation was carried out from two perspectives: (i) evaluating whether the alerts are delivered to the expected recipients and with the expected personalization; (ii) evaluating the context model and behavioral rules. For evaluation (i) an empirical approach was used through quantitative techniques. For evaluation (ii), a survey was conducted with Civil Defense experts from the states of Brazil. Results: This study presents an architecture and a context model with contextual rules for an EWS that considers people from vulnerable groups (for example deaf or blind people). Finally, it presents an implemented and functional prototype, the UAware Alert, with a management interface for sending alerts and a mobile app for receiving the warning in an accessible way. Conclusion: EWS uses CAP messages and the person’s location to send alerts. But to alert people who have different needs, it is also necessary to consider the profile of the person who will receive the alert and their location. Thus, the context model, behavioral rules, and media generation process of this study enables the development of an EWS, which sends instructions focused on the region where the person is located, either in text or in formats accessible to the needs of each user.

COMMITTEE MEMBERS:
Presidente - 2049039 - VANINHA VIEIRA DOS SANTOS
Interno - 1674550 - MANOEL GOMES DE MENDONCA NETO
Externo à Instituição - MARCOS ROBERTO DA SILVA BORGES - UFRJ
Externa à Instituição - CLAUDIA LAGE REBELLO DA MOTTA - UFRJ
Externa à Instituição - SORAIA SILVA PRIETCH