Supervising and Improving Attentiveness in Human Computer Interaction

Detalhes bibliográficos
Autor(a) principal: Durães, Dalila
Data de Publicação: 2016
Outros Autores: Carneiro, Davide, Bajo, Javier, Novais, Paulo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/10106
Resumo: The collection, storage, management, and anticipation of contextual information about the user to support decision-making constitute some of the key operations in most Ambient Intelligent (AmI) systems. When the instructor has a computer-based class it is often difficult to confirm if the students are working in the proposed activities. In order to mitigate problems that might occur in an environment with learning technologies we suggest an AmI system aimed at capturing, measuring, and supervising the students’ level of attentiveness in real scenarios and dynamically provide recommendations to the instructor. With this system it is possible to assess both individual and group attention, in real-time, providing a measure of the level of engagement of each student in the proposed activities and allowing the instructor to better steer teaching methodologies.
id RCAP_be27eb96e21337708622e669298c2419
oai_identifier_str oai:recipp.ipp.pt:10400.22/10106
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Supervising and Improving Attentiveness in Human Computer InteractionAmbient IntelligenceLearning StylesInnovative ScenariosAttentivenessThe collection, storage, management, and anticipation of contextual information about the user to support decision-making constitute some of the key operations in most Ambient Intelligent (AmI) systems. When the instructor has a computer-based class it is often difficult to confirm if the students are working in the proposed activities. In order to mitigate problems that might occur in an environment with learning technologies we suggest an AmI system aimed at capturing, measuring, and supervising the students’ level of attentiveness in real scenarios and dynamically provide recommendations to the instructor. With this system it is possible to assess both individual and group attention, in real-time, providing a measure of the level of engagement of each student in the proposed activities and allowing the instructor to better steer teaching methodologies.IOS PressRepositório Científico do Instituto Politécnico do PortoDurães, DalilaCarneiro, DavideBajo, JavierNovais, Paulo2017-07-19T15:15:21Z20162016-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/10106eng10.3233/978-1-61499-690-3-255metadata only accessinfo: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:RCAAP2023-03-13T12:51:37Zoai:recipp.ipp.pt:10400.22/10106Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:30:34.802301Repositório 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 Supervising and Improving Attentiveness in Human Computer Interaction
title Supervising and Improving Attentiveness in Human Computer Interaction
spellingShingle Supervising and Improving Attentiveness in Human Computer Interaction
Durães, Dalila
Ambient Intelligence
Learning Styles
Innovative Scenarios
Attentiveness
title_short Supervising and Improving Attentiveness in Human Computer Interaction
title_full Supervising and Improving Attentiveness in Human Computer Interaction
title_fullStr Supervising and Improving Attentiveness in Human Computer Interaction
title_full_unstemmed Supervising and Improving Attentiveness in Human Computer Interaction
title_sort Supervising and Improving Attentiveness in Human Computer Interaction
author Durães, Dalila
author_facet Durães, Dalila
Carneiro, Davide
Bajo, Javier
Novais, Paulo
author_role author
author2 Carneiro, Davide
Bajo, Javier
Novais, Paulo
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Durães, Dalila
Carneiro, Davide
Bajo, Javier
Novais, Paulo
dc.subject.por.fl_str_mv Ambient Intelligence
Learning Styles
Innovative Scenarios
Attentiveness
topic Ambient Intelligence
Learning Styles
Innovative Scenarios
Attentiveness
description The collection, storage, management, and anticipation of contextual information about the user to support decision-making constitute some of the key operations in most Ambient Intelligent (AmI) systems. When the instructor has a computer-based class it is often difficult to confirm if the students are working in the proposed activities. In order to mitigate problems that might occur in an environment with learning technologies we suggest an AmI system aimed at capturing, measuring, and supervising the students’ level of attentiveness in real scenarios and dynamically provide recommendations to the instructor. With this system it is possible to assess both individual and group attention, in real-time, providing a measure of the level of engagement of each student in the proposed activities and allowing the instructor to better steer teaching methodologies.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-01-01T00:00:00Z
2017-07-19T15:15:21Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/10106
url http://hdl.handle.net/10400.22/10106
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.3233/978-1-61499-690-3-255
dc.rights.driver.fl_str_mv metadata only access
info:eu-repo/semantics/openAccess
rights_invalid_str_mv metadata only access
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IOS Press
publisher.none.fl_str_mv IOS Press
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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
repository.mail.fl_str_mv
_version_ 1799131401701818368

Registros relacionados