Game-like 3D visualisation of air quality data

Detalhes bibliográficos
Autor(a) principal: Teles, B.
Data de Publicação: 2020
Outros Autores: Mariano, P., Santana, P.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/21622
Resumo: The data produced by sensor networks for urban air quality monitoring is becoming a valuable asset for informed health-aware human activity planning. However, in order to properly explore and exploit these data, citizens need intuitive and effective ways of interacting with it. This paper presents CityOnStats, a visualisation tool developed to provide users, mainly adults and young adults, with a game-like 3D environment populated with air quality sensing data, as an alternative to the traditionally passive visualisation techniques. CityOnStats provides several visual cues of pollution presence with the purpose of meeting each user’s preferences. Usability tests with a sample of 30 participants have shown the value of air quality 3D game-based visualisation and have provided empirical support for which visual cues are most adequate for the task at hand.
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spelling Game-like 3D visualisation of air quality dataScientific data visualisationVirtual environmentsGame engineAir qualitySensor networkThe data produced by sensor networks for urban air quality monitoring is becoming a valuable asset for informed health-aware human activity planning. However, in order to properly explore and exploit these data, citizens need intuitive and effective ways of interacting with it. This paper presents CityOnStats, a visualisation tool developed to provide users, mainly adults and young adults, with a game-like 3D environment populated with air quality sensing data, as an alternative to the traditionally passive visualisation techniques. CityOnStats provides several visual cues of pollution presence with the purpose of meeting each user’s preferences. Usability tests with a sample of 30 participants have shown the value of air quality 3D game-based visualisation and have provided empirical support for which visual cues are most adequate for the task at hand.MDPI2021-01-28T11:48:32Z2020-01-01T00:00:00Z20202021-01-28T11:47:33Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/21622eng2414-408810.3390/mti4030054Teles, B.Mariano, P.Santana, P.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:42:12Zoai:repositorio.iscte-iul.pt:10071/21622Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:19:42.921420Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Game-like 3D visualisation of air quality data
title Game-like 3D visualisation of air quality data
spellingShingle Game-like 3D visualisation of air quality data
Teles, B.
Scientific data visualisation
Virtual environments
Game engine
Air quality
Sensor network
title_short Game-like 3D visualisation of air quality data
title_full Game-like 3D visualisation of air quality data
title_fullStr Game-like 3D visualisation of air quality data
title_full_unstemmed Game-like 3D visualisation of air quality data
title_sort Game-like 3D visualisation of air quality data
author Teles, B.
author_facet Teles, B.
Mariano, P.
Santana, P.
author_role author
author2 Mariano, P.
Santana, P.
author2_role author
author
dc.contributor.author.fl_str_mv Teles, B.
Mariano, P.
Santana, P.
dc.subject.por.fl_str_mv Scientific data visualisation
Virtual environments
Game engine
Air quality
Sensor network
topic Scientific data visualisation
Virtual environments
Game engine
Air quality
Sensor network
description The data produced by sensor networks for urban air quality monitoring is becoming a valuable asset for informed health-aware human activity planning. However, in order to properly explore and exploit these data, citizens need intuitive and effective ways of interacting with it. This paper presents CityOnStats, a visualisation tool developed to provide users, mainly adults and young adults, with a game-like 3D environment populated with air quality sensing data, as an alternative to the traditionally passive visualisation techniques. CityOnStats provides several visual cues of pollution presence with the purpose of meeting each user’s preferences. Usability tests with a sample of 30 participants have shown the value of air quality 3D game-based visualisation and have provided empirical support for which visual cues are most adequate for the task at hand.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01T00:00:00Z
2020
2021-01-28T11:48:32Z
2021-01-28T11:47:33Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/21622
url http://hdl.handle.net/10071/21622
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2414-4088
10.3390/mti4030054
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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