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Assessing Situation Awareness on Fusion-Driven Emergency Management Systems

dc.contributor.authorBotega, Leonardo C. [UNESP]
dc.contributor.authorPereira, Gustavo M. C. [UNESP]
dc.contributor.authorJunior, Valdir A. P. [UNESP]
dc.contributor.authorDe Oliveira, Allan C. M.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversity Centre Eurípides of Marília (UNIVEM)
dc.date.accessioned2020-12-12T01:18:26Z
dc.date.available2020-12-12T01:18:26Z
dc.date.issued2019-07-01
dc.description.abstractSituational Awareness (SAW) is a widespread concept in areas that require critical decision-making and refers to the level of consciousness that an individual or team has about a situation. A poor SAW can induce humans to failures in the decision-making process, leading to losses of lives and property damage. Data fusion processes present opportunities to enrich the knowledge about situations by integrating heterogeneous and synergistic data from different sources and transforming them into more meaningful subsidies for decision-making. However, a problem arises when information is subject to problems concerning its quality, especially when humans are the main sources of data (HUMINT). This work describes the assessment of situation awareness provided by an emergency situation assessment system (ESAS), build based on the principles of a new information fusion model. Experts from the São Paulo State Police (PMESP) evaluated ESAS using SART methodology (Situation Awareness Rating Technique), which showed higher rates of SAW, compared to another system, based on the state-of-the-art high-level fusion model, especially in questions relating to the components of informational supply and situational understanding.en
dc.description.affiliationGraduate School of Information Science (PPGCI) São Paulo State University (UNESP)
dc.description.affiliationHuman-Computer Interaction Group (HCIG) University Centre Eurípides of Marília (UNIVEM)
dc.description.affiliationUnespGraduate School of Information Science (PPGCI) São Paulo State University (UNESP)
dc.identifier.citationFUSION 2019 - 22nd International Conference on Information Fusion.
dc.identifier.scopus2-s2.0-85081786742
dc.identifier.urihttp://hdl.handle.net/11449/198647
dc.language.isoeng
dc.relation.ispartofFUSION 2019 - 22nd International Conference on Information Fusion
dc.sourceScopus
dc.subjectData and Information Fusion
dc.subjectInformation Quality Management
dc.subjectSituation Awareness
dc.titleAssessing Situation Awareness on Fusion-Driven Emergency Management Systemsen
dc.typeTrabalho apresentado em evento

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