Using artificially generated pictures in customer-facing systems: An evaluation study with data-driven personas

Detalhes bibliográficos
Autor(a) principal: Salminen, J.
Data de Publicação: 2021
Outros Autores: Jung, S. - G., Kamel, A. M. S., Santos, J. M., Jansen, B. J.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/22444
Resumo: We conduct two studies to evaluate the suitability of artificially generated facial pictures for use in a customer-facing system using data-driven personas. STUDY 1 investigates the quality of a sample of 1,000 artificially generated facial pictures. Obtaining 6,812 crowd judgments, we find that 90% of the images are rated medium quality or better. STUDY 2 examines the application of artificially generated facial pictures in data-driven personas using an experimental setting where the high-quality pictures are implemented in persona profiles. Based on 496 participants using 4 persona treatments (2 × 2 research design), findings of Bayesian analysis show that using the artificial pictures in persona profiles did not decrease the scores for Authenticity, Clarity, Empathy, and Willingness to Use of the data-driven personas.
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spelling Using artificially generated pictures in customer-facing systems: An evaluation study with data-driven personasEvaluationHuman-computer interactionUser behaviourHuman factorsArtificially generated facial picturesWe conduct two studies to evaluate the suitability of artificially generated facial pictures for use in a customer-facing system using data-driven personas. STUDY 1 investigates the quality of a sample of 1,000 artificially generated facial pictures. Obtaining 6,812 crowd judgments, we find that 90% of the images are rated medium quality or better. STUDY 2 examines the application of artificially generated facial pictures in data-driven personas using an experimental setting where the high-quality pictures are implemented in persona profiles. Based on 496 participants using 4 persona treatments (2 × 2 research design), findings of Bayesian analysis show that using the artificial pictures in persona profiles did not decrease the scores for Authenticity, Clarity, Empathy, and Willingness to Use of the data-driven personas.Taylor and Francis2021-11-06T00:00:00Z2022-01-01T00:00:00Z20222023-03-27T12:36:17Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/22444eng0144-929X10.1080/0144929x.2020.1838610Salminen, J.Jung, S. - G.Kamel, A. M. S.Santos, J. M.Jansen, B. J.info: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:RCAAP2023-11-09T17:43:25Zoai:repositorio.iscte-iul.pt:10071/22444Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:20:25.046444Repositório 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 Using artificially generated pictures in customer-facing systems: An evaluation study with data-driven personas
title Using artificially generated pictures in customer-facing systems: An evaluation study with data-driven personas
spellingShingle Using artificially generated pictures in customer-facing systems: An evaluation study with data-driven personas
Salminen, J.
Evaluation
Human-computer interaction
User behaviour
Human factors
Artificially generated facial pictures
title_short Using artificially generated pictures in customer-facing systems: An evaluation study with data-driven personas
title_full Using artificially generated pictures in customer-facing systems: An evaluation study with data-driven personas
title_fullStr Using artificially generated pictures in customer-facing systems: An evaluation study with data-driven personas
title_full_unstemmed Using artificially generated pictures in customer-facing systems: An evaluation study with data-driven personas
title_sort Using artificially generated pictures in customer-facing systems: An evaluation study with data-driven personas
author Salminen, J.
author_facet Salminen, J.
Jung, S. - G.
Kamel, A. M. S.
Santos, J. M.
Jansen, B. J.
author_role author
author2 Jung, S. - G.
Kamel, A. M. S.
Santos, J. M.
Jansen, B. J.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Salminen, J.
Jung, S. - G.
Kamel, A. M. S.
Santos, J. M.
Jansen, B. J.
dc.subject.por.fl_str_mv Evaluation
Human-computer interaction
User behaviour
Human factors
Artificially generated facial pictures
topic Evaluation
Human-computer interaction
User behaviour
Human factors
Artificially generated facial pictures
description We conduct two studies to evaluate the suitability of artificially generated facial pictures for use in a customer-facing system using data-driven personas. STUDY 1 investigates the quality of a sample of 1,000 artificially generated facial pictures. Obtaining 6,812 crowd judgments, we find that 90% of the images are rated medium quality or better. STUDY 2 examines the application of artificially generated facial pictures in data-driven personas using an experimental setting where the high-quality pictures are implemented in persona profiles. Based on 496 participants using 4 persona treatments (2 × 2 research design), findings of Bayesian analysis show that using the artificial pictures in persona profiles did not decrease the scores for Authenticity, Clarity, Empathy, and Willingness to Use of the data-driven personas.
publishDate 2021
dc.date.none.fl_str_mv 2021-11-06T00:00:00Z
2022-01-01T00:00:00Z
2022
2023-03-27T12:36:17Z
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/10071/22444
url http://hdl.handle.net/10071/22444
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0144-929X
10.1080/0144929x.2020.1838610
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.publisher.none.fl_str_mv Taylor and Francis
publisher.none.fl_str_mv Taylor and Francis
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
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