Knowledge extraction from pointer movements and its application to detect uncertainty
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/125822 |
Resumo: | PD/BDE/114561/2016 |
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Knowledge extraction from pointer movements and its application to detect uncertaintyDecision uncertaintyHuman-computer interactionMachine learningMouse movement dynamicsOn-line surveyPointer-trackingSpatio-temporal featuresGeneralPD/BDE/114561/2016Pointer-tracking methods can capture a real-time trace at high spatio-temporal resolution of users' pointer interactions with a graphical user interface. This trace is potentially valuable for research on human-computer interaction (HCI) and for investigating perceptual, cognitive and affective processes during HCI. However, little research has reported spatio-temporal pointer features for the purpose of tracking pointer movements in on-line surveys. In two studies, we identified a set of pointer features and movement patterns and showed that these can be easily distinguished. In a third study, we explored the feasibility of using patterns of interactive pointer movements, or micro-behaviours, to detect response uncertainty. Using logistic regression and k-fold cross-validation in model training and testing, the uncertainty model achieved an estimated performance accuracy of 81%. These findings suggest that micro-behaviours provide a promising approach toward developing a better understanding of the relationship between the dynamics of pointer movements and underlying perceptual, cognitive and affective psychological mechanisms. Human-computer interaction; Pointer-tracking; Mouse movement dynamics; Decision uncertainty; On-line survey; Spatio-temporal features; Machine learningLIBPhys-UNLRUNCepeda, CatiaDias, Maria CamilaRindlisbacher, DinaGamboa, HugoCheetham, Marcus2021-10-09T04:57:03Z2021-012021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/125822eng2405-8440PURE: 29591239https://doi.org/10.1016/j.heliyon.2020.e05873info: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:RCAAP2024-03-11T05:06:37Zoai:run.unl.pt:10362/125822Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:45:47.837521Repositório 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 |
Knowledge extraction from pointer movements and its application to detect uncertainty |
title |
Knowledge extraction from pointer movements and its application to detect uncertainty |
spellingShingle |
Knowledge extraction from pointer movements and its application to detect uncertainty Cepeda, Catia Decision uncertainty Human-computer interaction Machine learning Mouse movement dynamics On-line survey Pointer-tracking Spatio-temporal features General |
title_short |
Knowledge extraction from pointer movements and its application to detect uncertainty |
title_full |
Knowledge extraction from pointer movements and its application to detect uncertainty |
title_fullStr |
Knowledge extraction from pointer movements and its application to detect uncertainty |
title_full_unstemmed |
Knowledge extraction from pointer movements and its application to detect uncertainty |
title_sort |
Knowledge extraction from pointer movements and its application to detect uncertainty |
author |
Cepeda, Catia |
author_facet |
Cepeda, Catia Dias, Maria Camila Rindlisbacher, Dina Gamboa, Hugo Cheetham, Marcus |
author_role |
author |
author2 |
Dias, Maria Camila Rindlisbacher, Dina Gamboa, Hugo Cheetham, Marcus |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
LIBPhys-UNL RUN |
dc.contributor.author.fl_str_mv |
Cepeda, Catia Dias, Maria Camila Rindlisbacher, Dina Gamboa, Hugo Cheetham, Marcus |
dc.subject.por.fl_str_mv |
Decision uncertainty Human-computer interaction Machine learning Mouse movement dynamics On-line survey Pointer-tracking Spatio-temporal features General |
topic |
Decision uncertainty Human-computer interaction Machine learning Mouse movement dynamics On-line survey Pointer-tracking Spatio-temporal features General |
description |
PD/BDE/114561/2016 |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-10-09T04:57:03Z 2021-01 2021-01-01T00:00:00Z |
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/10362/125822 |
url |
http://hdl.handle.net/10362/125822 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2405-8440 PURE: 29591239 https://doi.org/10.1016/j.heliyon.2020.e05873 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
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reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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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1799138062170587136 |