Knowledge extraction from pointer movements and its application to detect uncertainty

Detalhes bibliográficos
Autor(a) principal: Cepeda, Catia
Data de Publicação: 2021
Outros Autores: Dias, Maria Camila, Rindlisbacher, Dina, Gamboa, Hugo, Cheetham, Marcus
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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spelling 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
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
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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
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