The effect emotions on healthcare wearable technology use: empirical study based on the framework for classifying emotions
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Data de Publicação: | 2018 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/33947 |
Resumo: | Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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The effect emotions on healthcare wearable technology use: empirical study based on the framework for classifying emotionsHealthcare wearable devicesBehavioural intentionTechnology useFramework for classifying emotionsDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceWearable devices are a market trend. The number of consumers of this type of technology has significantly increased since 2016 and it will not stop, especially in healthcare area. Understanding health and body have become easier with these gadgets due to their intelligent sensors that allow biometric data to be collected in real time. Given this, it is necessary to understand the reasons that lead individuals to adopt these technologies. Different from past researches in acceptance and use of information technology area, this study applied a theory for classifying emotions to understand the direct and indirect effect of emotions on healthcare wearable technology usage. For this purpose, an online questionnaire was administrated in Portugal where 265 valid answers were collected. The results of the study proved that emotions do not directly influence the use of healthcare wearable devices, but they are indirectly related to IT use through adaption behaviours and they moderate the relationship between intention and usage. In general, the model explained 51% of the variance in wearable technology usage.Os dispositivos wearable são uma tendência de mercado. O número de consumidores deste tipo tecnologia tem aumentado significativamente desde 2016 e parece não parar, sobretudo na área da saúde e do fitness. Compreender o corpo e a saúde torna-se muito mais simples com estes dispositivos devido aos sensores inteligentes que possuem e que permitem obter dados biométricos em tempo real. Neste sentido, torna-se necessário entender as razões que levam a adoção destas tecnologias. Diferente das pesquisas que foram realizadas na área da aceitação e do uso de tecnologias de informação, este estudo aplicou uma teoria baseada na classificação de emoções para perceber o efeito direto e indireto das emoções na utilização de dispositivos wearable na saúde e no fitness. Para tal, foi realizado um questionário em Portugal onde foram recolhidas 265 respostas válidas. Os resultados do estudo provaram que as emoções não influenciam diretamente a utilização dos wearables, mas que se relacionam indiretamente através de comportamentos de adaptação e que moderam a relação entre a intenção e a utilização. Em geral, o modelo explicou 51% da variação na utilização destas tecnologias.Oliveira, Tiago André Gonçalves Félix deRUNNina, Beatriz Correia2021-03-22T01:30:23Z2018-03-222018-03-22T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/33947TID:201894149enginfo: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:RCAAP2024-05-22T17:31:43Zoai:run.unl.pt:10362/33947Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-22T17:31:43Repositório 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 |
The effect emotions on healthcare wearable technology use: empirical study based on the framework for classifying emotions |
title |
The effect emotions on healthcare wearable technology use: empirical study based on the framework for classifying emotions |
spellingShingle |
The effect emotions on healthcare wearable technology use: empirical study based on the framework for classifying emotions Nina, Beatriz Correia Healthcare wearable devices Behavioural intention Technology use Framework for classifying emotions |
title_short |
The effect emotions on healthcare wearable technology use: empirical study based on the framework for classifying emotions |
title_full |
The effect emotions on healthcare wearable technology use: empirical study based on the framework for classifying emotions |
title_fullStr |
The effect emotions on healthcare wearable technology use: empirical study based on the framework for classifying emotions |
title_full_unstemmed |
The effect emotions on healthcare wearable technology use: empirical study based on the framework for classifying emotions |
title_sort |
The effect emotions on healthcare wearable technology use: empirical study based on the framework for classifying emotions |
author |
Nina, Beatriz Correia |
author_facet |
Nina, Beatriz Correia |
author_role |
author |
dc.contributor.none.fl_str_mv |
Oliveira, Tiago André Gonçalves Félix de RUN |
dc.contributor.author.fl_str_mv |
Nina, Beatriz Correia |
dc.subject.por.fl_str_mv |
Healthcare wearable devices Behavioural intention Technology use Framework for classifying emotions |
topic |
Healthcare wearable devices Behavioural intention Technology use Framework for classifying emotions |
description |
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-03-22 2018-03-22T00:00:00Z 2021-03-22T01:30:23Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/33947 TID:201894149 |
url |
http://hdl.handle.net/10362/33947 |
identifier_str_mv |
TID:201894149 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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 |
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 |
mluisa.alvim@gmail.com |
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1817545631886999552 |