Beyond the comfort zone: digital nudges for off-profile recommendations
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Biblioteca Digital de Teses e Dissertações da USP |
Texto Completo: | https://www.teses.usp.br/teses/disponiveis/55/55134/tde-05092023-161927/ |
Resumo: | In todays constantly evolving society, recommendation systems have emerged as a crucial tool in the digital age. In many application areas of recommendation systems, such as media streaming sites, the main objective of service providers is to increase user engagement by helping them discover new types of content they like. Standard collaborative filtering algorithms typically lead to some level of discovery. However, in some cases, it is useful to actively promote out-of-profile items so that users can explore new possibilities. But when showing out-of-profile items to users along with more familiar ones, new items may go unnoticed. In this research, we examine how the technique of \"digital nudging\", or subtly directing user choices in a specific direction, can help increase user attention and interest in out-of-profile content. We conducted a user study (N=1,064) in a real book recommendation application. We found that by directing users to recommended books of non-preferred genres, there was a significant increase in out-of-profile books added to reading lists, confirming the effectiveness of digital nudging. However, we also found that the subjective perception of recommendation relevance may decrease when using nudging, resulting in lower satisfaction and lower intention to reuse the system. Therefore, digital nudging in recommendations is effective in the short term, but should be used with caution, keeping an eye on users overall perceptions of quality and potential long-term harmful effects. |
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Beyond the comfort zone: digital nudges for off-profile recommendationsAlém da zona de conforto: nudges digitais para recomendações fora de perfilBiasDescobertaDiscoveryDiversidadeDiversityNudgingNudgingRecommender systemSistemas de recomendaçãoViesIn todays constantly evolving society, recommendation systems have emerged as a crucial tool in the digital age. In many application areas of recommendation systems, such as media streaming sites, the main objective of service providers is to increase user engagement by helping them discover new types of content they like. Standard collaborative filtering algorithms typically lead to some level of discovery. However, in some cases, it is useful to actively promote out-of-profile items so that users can explore new possibilities. But when showing out-of-profile items to users along with more familiar ones, new items may go unnoticed. In this research, we examine how the technique of \"digital nudging\", or subtly directing user choices in a specific direction, can help increase user attention and interest in out-of-profile content. We conducted a user study (N=1,064) in a real book recommendation application. We found that by directing users to recommended books of non-preferred genres, there was a significant increase in out-of-profile books added to reading lists, confirming the effectiveness of digital nudging. However, we also found that the subjective perception of recommendation relevance may decrease when using nudging, resulting in lower satisfaction and lower intention to reuse the system. Therefore, digital nudging in recommendations is effective in the short term, but should be used with caution, keeping an eye on users overall perceptions of quality and potential long-term harmful effects.Na sociedade em constante evolução de hoje, os sistemas de recomendação surgiram como uma ferramenta crucial na era digital. Em muitas áreas de aplicação desses sistemas, como em sites de streaming de mídia, o objetivo principal dos provedores de serviço de recomendação é aumentar o engajamento dos usuários ajudando-os a descobrir novos tipos de conteúdo que gostem. Algoritmos tradicionais de filtragem colaborativa geralmente levam a algum nível de descoberta. No entanto, em alguns casos, é útil promover conteúdo fora do perfil para que os usuários possam explorar as possibilidades. Mas, ao mostrar itens fora do perfil para os usuários junto com itens familiares, é possível que os novos itens passem despercebidos. Nesta pesquisa, analisamos como a técnica de \"digital nudging\", ou seja, o estímulo sutil das escolhas do usuário em uma direção específica, pode ajudar a aumentar a atenção e o interesse dos usuários em conteúdo fora do seu perfil. Fizemos um estudo com usuários (N=1.064) em um aplicativo real de recomendação de livros. Descobrimos que, ao direcionar os usuários para livros recomendados de gêneros não preferidos, houve um aumento significativo de livros fora do perfil adicionados às listas de leitura, confirmando a eficácia do digital nudging. No entanto, também percebemos que a percepção subjetiva da relevância das recomendações pode diminuir quando usamos nudging, resultando em menor satisfação e menor intenção de reutilizar o sistema. Portanto, o digital nudging em recomendações é eficaz a curto prazo, mas deve ser usado com cautela, mantendo-se atento às percepções gerais de qualidade dos usuários e aos potenciais efeitos prejudiciais a longo prazo.Biblioteca Digitais de Teses e Dissertações da USPManzato, Marcelo GarciaAlves, Gabrielle Aparecida Pires2023-05-29info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://www.teses.usp.br/teses/disponiveis/55/55134/tde-05092023-161927/reponame:Biblioteca Digital de Teses e Dissertações da USPinstname:Universidade de São Paulo (USP)instacron:USPLiberar o conteúdo para acesso público.info:eu-repo/semantics/openAccesseng2023-09-05T19:28:02Zoai:teses.usp.br:tde-05092023-161927Biblioteca Digital de Teses e Dissertaçõeshttp://www.teses.usp.br/PUBhttp://www.teses.usp.br/cgi-bin/mtd2br.plvirginia@if.usp.br|| atendimento@aguia.usp.br||virginia@if.usp.bropendoar:27212023-09-05T19:28:02Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Beyond the comfort zone: digital nudges for off-profile recommendations Além da zona de conforto: nudges digitais para recomendações fora de perfil |
title |
Beyond the comfort zone: digital nudges for off-profile recommendations |
spellingShingle |
Beyond the comfort zone: digital nudges for off-profile recommendations Alves, Gabrielle Aparecida Pires Bias Descoberta Discovery Diversidade Diversity Nudging Nudging Recommender system Sistemas de recomendação Vies |
title_short |
Beyond the comfort zone: digital nudges for off-profile recommendations |
title_full |
Beyond the comfort zone: digital nudges for off-profile recommendations |
title_fullStr |
Beyond the comfort zone: digital nudges for off-profile recommendations |
title_full_unstemmed |
Beyond the comfort zone: digital nudges for off-profile recommendations |
title_sort |
Beyond the comfort zone: digital nudges for off-profile recommendations |
author |
Alves, Gabrielle Aparecida Pires |
author_facet |
Alves, Gabrielle Aparecida Pires |
author_role |
author |
dc.contributor.none.fl_str_mv |
Manzato, Marcelo Garcia |
dc.contributor.author.fl_str_mv |
Alves, Gabrielle Aparecida Pires |
dc.subject.por.fl_str_mv |
Bias Descoberta Discovery Diversidade Diversity Nudging Nudging Recommender system Sistemas de recomendação Vies |
topic |
Bias Descoberta Discovery Diversidade Diversity Nudging Nudging Recommender system Sistemas de recomendação Vies |
description |
In todays constantly evolving society, recommendation systems have emerged as a crucial tool in the digital age. In many application areas of recommendation systems, such as media streaming sites, the main objective of service providers is to increase user engagement by helping them discover new types of content they like. Standard collaborative filtering algorithms typically lead to some level of discovery. However, in some cases, it is useful to actively promote out-of-profile items so that users can explore new possibilities. But when showing out-of-profile items to users along with more familiar ones, new items may go unnoticed. In this research, we examine how the technique of \"digital nudging\", or subtly directing user choices in a specific direction, can help increase user attention and interest in out-of-profile content. We conducted a user study (N=1,064) in a real book recommendation application. We found that by directing users to recommended books of non-preferred genres, there was a significant increase in out-of-profile books added to reading lists, confirming the effectiveness of digital nudging. However, we also found that the subjective perception of recommendation relevance may decrease when using nudging, resulting in lower satisfaction and lower intention to reuse the system. Therefore, digital nudging in recommendations is effective in the short term, but should be used with caution, keeping an eye on users overall perceptions of quality and potential long-term harmful effects. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-05-29 |
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 |
https://www.teses.usp.br/teses/disponiveis/55/55134/tde-05092023-161927/ |
url |
https://www.teses.usp.br/teses/disponiveis/55/55134/tde-05092023-161927/ |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
|
dc.rights.driver.fl_str_mv |
Liberar o conteúdo para acesso público. info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Liberar o conteúdo para acesso público. |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.coverage.none.fl_str_mv |
|
dc.publisher.none.fl_str_mv |
Biblioteca Digitais de Teses e Dissertações da USP |
publisher.none.fl_str_mv |
Biblioteca Digitais de Teses e Dissertações da USP |
dc.source.none.fl_str_mv |
reponame:Biblioteca Digital de Teses e Dissertações da USP instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Biblioteca Digital de Teses e Dissertações da USP |
collection |
Biblioteca Digital de Teses e Dissertações da USP |
repository.name.fl_str_mv |
Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
virginia@if.usp.br|| atendimento@aguia.usp.br||virginia@if.usp.br |
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1815256744695169024 |