Assessing Situation Awareness on Fusion-Driven Emergency Management Systems
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/198647 |
Resumo: | Situational 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. |
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Assessing Situation Awareness on Fusion-Driven Emergency Management SystemsData and Information FusionInformation Quality ManagementSituation AwarenessSituational 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.Graduate School of Information Science (PPGCI) São Paulo State University (UNESP)Human-Computer Interaction Group (HCIG) University Centre Eurípides of Marília (UNIVEM)Graduate School of Information Science (PPGCI) São Paulo State University (UNESP)Universidade Estadual Paulista (Unesp)University Centre Eurípides of Marília (UNIVEM)Botega, Leonardo C. [UNESP]Pereira, Gustavo M. C. [UNESP]Junior, Valdir A. P. [UNESP]De Oliveira, Allan C. M.2020-12-12T01:18:26Z2020-12-12T01:18:26Z2019-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectFUSION 2019 - 22nd International Conference on Information Fusion.http://hdl.handle.net/11449/1986472-s2.0-85081786742Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengFUSION 2019 - 22nd International Conference on Information Fusioninfo:eu-repo/semantics/openAccess2021-10-22T18:13:04Zoai:repositorio.unesp.br:11449/198647Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:26:17.934750Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Assessing Situation Awareness on Fusion-Driven Emergency Management Systems |
title |
Assessing Situation Awareness on Fusion-Driven Emergency Management Systems |
spellingShingle |
Assessing Situation Awareness on Fusion-Driven Emergency Management Systems Botega, Leonardo C. [UNESP] Data and Information Fusion Information Quality Management Situation Awareness |
title_short |
Assessing Situation Awareness on Fusion-Driven Emergency Management Systems |
title_full |
Assessing Situation Awareness on Fusion-Driven Emergency Management Systems |
title_fullStr |
Assessing Situation Awareness on Fusion-Driven Emergency Management Systems |
title_full_unstemmed |
Assessing Situation Awareness on Fusion-Driven Emergency Management Systems |
title_sort |
Assessing Situation Awareness on Fusion-Driven Emergency Management Systems |
author |
Botega, Leonardo C. [UNESP] |
author_facet |
Botega, Leonardo C. [UNESP] Pereira, Gustavo M. C. [UNESP] Junior, Valdir A. P. [UNESP] De Oliveira, Allan C. M. |
author_role |
author |
author2 |
Pereira, Gustavo M. C. [UNESP] Junior, Valdir A. P. [UNESP] De Oliveira, Allan C. M. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) University Centre Eurípides of Marília (UNIVEM) |
dc.contributor.author.fl_str_mv |
Botega, Leonardo C. [UNESP] Pereira, Gustavo M. C. [UNESP] Junior, Valdir A. P. [UNESP] De Oliveira, Allan C. M. |
dc.subject.por.fl_str_mv |
Data and Information Fusion Information Quality Management Situation Awareness |
topic |
Data and Information Fusion Information Quality Management Situation Awareness |
description |
Situational 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. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-07-01 2020-12-12T01:18:26Z 2020-12-12T01:18:26Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
FUSION 2019 - 22nd International Conference on Information Fusion. http://hdl.handle.net/11449/198647 2-s2.0-85081786742 |
identifier_str_mv |
FUSION 2019 - 22nd International Conference on Information Fusion. 2-s2.0-85081786742 |
url |
http://hdl.handle.net/11449/198647 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
FUSION 2019 - 22nd International Conference on Information Fusion |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129202163023872 |