Applying the technology acceptance model to evaluation of recommender systems

Autores
Armentano, Marcelo Gabriel; Christensen, Ingrid Alina; Schiaffino, Silvia Noemi
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In general, the study of recommender systems emphasizes the efficiency of techniques to provide accurate recommendations rather than factors influencing users' acceptance of the system; however, accuracy alone cannot account for users' satisfying experience. Bearing in mind this gap in the research, we apply the technology acceptance model (TAM) to evaluate user acceptance of a recommender system in the movies domain. Within the basic TAM model, we incorporate a new latent variable representing self-assessed user skills to use a recommender system. The experiment included 116 users who answered a satisfaction survey after using a movie recommender system. The results evince that perceived usefulness of the system has more impact than perceived ease of use to motivate acceptance of recommendations. Additionally, users' previous skills strongly influence perceived ease of use, which directly impacts on perceived usefulness of the system. These findings can assist developers of recommender systems in their attempt to maximize users' experience.
Fil: Armentano, Marcelo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentina
Fil: Christensen, Ingrid Alina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentina
Fil: Schiaffino, Silvia Noemi. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentina
Materia
RECOMMENDER SYSTEMS
EVALUATION
USER ACCEPTANCE
TECHNOLOGY ACCEPTANCE MODEL
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/6821
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Applying the technology acceptance model to evaluation of recommender systemsArmentano, Marcelo GabrielChristensen, Ingrid AlinaSchiaffino, Silvia NoemiRECOMMENDER SYSTEMSEVALUATIONUSER ACCEPTANCETECHNOLOGY ACCEPTANCE MODELhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1In general, the study of recommender systems emphasizes the efficiency of techniques to provide accurate recommendations rather than factors influencing users' acceptance of the system; however, accuracy alone cannot account for users' satisfying experience. Bearing in mind this gap in the research, we apply the technology acceptance model (TAM) to evaluate user acceptance of a recommender system in the movies domain. Within the basic TAM model, we incorporate a new latent variable representing self-assessed user skills to use a recommender system. The experiment included 116 users who answered a satisfaction survey after using a movie recommender system. The results evince that perceived usefulness of the system has more impact than perceived ease of use to motivate acceptance of recommendations. Additionally, users' previous skills strongly influence perceived ease of use, which directly impacts on perceived usefulness of the system. These findings can assist developers of recommender systems in their attempt to maximize users' experience.Fil: Armentano, Marcelo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; ArgentinaFil: Christensen, Ingrid Alina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; ArgentinaFil: Schiaffino, Silvia Noemi. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; ArgentinaCenter for Technological Design and Development in Computer Science2015-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/6821Armentano, Marcelo Gabriel; Christensen, Ingrid Alina; Schiaffino, Silvia Noemi; Applying the technology acceptance model to evaluation of recommender systems; Center for Technological Design and Development in Computer Science; Polibits; 51; 6-2015; 73-791870-9044enginfo:eu-repo/semantics/altIdentifier/url/http://www.redalyc.org/articulo.oa?id=402641203011info:eu-repo/semantics/altIdentifier/url/http://ref.scielo.org/9gyp7yinfo:eu-repo/semantics/altIdentifier/doi/10.17562/PB-51-10info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:41:37Zoai:ri.conicet.gov.ar:11336/6821instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:41:37.716CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Applying the technology acceptance model to evaluation of recommender systems
title Applying the technology acceptance model to evaluation of recommender systems
spellingShingle Applying the technology acceptance model to evaluation of recommender systems
Armentano, Marcelo Gabriel
RECOMMENDER SYSTEMS
EVALUATION
USER ACCEPTANCE
TECHNOLOGY ACCEPTANCE MODEL
title_short Applying the technology acceptance model to evaluation of recommender systems
title_full Applying the technology acceptance model to evaluation of recommender systems
title_fullStr Applying the technology acceptance model to evaluation of recommender systems
title_full_unstemmed Applying the technology acceptance model to evaluation of recommender systems
title_sort Applying the technology acceptance model to evaluation of recommender systems
dc.creator.none.fl_str_mv Armentano, Marcelo Gabriel
Christensen, Ingrid Alina
Schiaffino, Silvia Noemi
author Armentano, Marcelo Gabriel
author_facet Armentano, Marcelo Gabriel
Christensen, Ingrid Alina
Schiaffino, Silvia Noemi
author_role author
author2 Christensen, Ingrid Alina
Schiaffino, Silvia Noemi
author2_role author
author
dc.subject.none.fl_str_mv RECOMMENDER SYSTEMS
EVALUATION
USER ACCEPTANCE
TECHNOLOGY ACCEPTANCE MODEL
topic RECOMMENDER SYSTEMS
EVALUATION
USER ACCEPTANCE
TECHNOLOGY ACCEPTANCE MODEL
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In general, the study of recommender systems emphasizes the efficiency of techniques to provide accurate recommendations rather than factors influencing users' acceptance of the system; however, accuracy alone cannot account for users' satisfying experience. Bearing in mind this gap in the research, we apply the technology acceptance model (TAM) to evaluate user acceptance of a recommender system in the movies domain. Within the basic TAM model, we incorporate a new latent variable representing self-assessed user skills to use a recommender system. The experiment included 116 users who answered a satisfaction survey after using a movie recommender system. The results evince that perceived usefulness of the system has more impact than perceived ease of use to motivate acceptance of recommendations. Additionally, users' previous skills strongly influence perceived ease of use, which directly impacts on perceived usefulness of the system. These findings can assist developers of recommender systems in their attempt to maximize users' experience.
Fil: Armentano, Marcelo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentina
Fil: Christensen, Ingrid Alina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentina
Fil: Schiaffino, Silvia Noemi. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentina
description In general, the study of recommender systems emphasizes the efficiency of techniques to provide accurate recommendations rather than factors influencing users' acceptance of the system; however, accuracy alone cannot account for users' satisfying experience. Bearing in mind this gap in the research, we apply the technology acceptance model (TAM) to evaluate user acceptance of a recommender system in the movies domain. Within the basic TAM model, we incorporate a new latent variable representing self-assessed user skills to use a recommender system. The experiment included 116 users who answered a satisfaction survey after using a movie recommender system. The results evince that perceived usefulness of the system has more impact than perceived ease of use to motivate acceptance of recommendations. Additionally, users' previous skills strongly influence perceived ease of use, which directly impacts on perceived usefulness of the system. These findings can assist developers of recommender systems in their attempt to maximize users' experience.
publishDate 2015
dc.date.none.fl_str_mv 2015-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/6821
Armentano, Marcelo Gabriel; Christensen, Ingrid Alina; Schiaffino, Silvia Noemi; Applying the technology acceptance model to evaluation of recommender systems; Center for Technological Design and Development in Computer Science; Polibits; 51; 6-2015; 73-79
1870-9044
url http://hdl.handle.net/11336/6821
identifier_str_mv Armentano, Marcelo Gabriel; Christensen, Ingrid Alina; Schiaffino, Silvia Noemi; Applying the technology acceptance model to evaluation of recommender systems; Center for Technological Design and Development in Computer Science; Polibits; 51; 6-2015; 73-79
1870-9044
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.redalyc.org/articulo.oa?id=402641203011
info:eu-repo/semantics/altIdentifier/url/http://ref.scielo.org/9gyp7y
info:eu-repo/semantics/altIdentifier/doi/10.17562/PB-51-10
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Center for Technological Design and Development in Computer Science
publisher.none.fl_str_mv Center for Technological Design and Development in Computer Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844614447746777088
score 13.070432

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