Mobile Application for the Recommendation of Furniture and Appliances Through Augmented Reality to Improve The User Experience in The Online Shopping Process

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Due to the increase in online shopping, companies are looking to reinvent themselves and improve their ecommerce platforms. However, some users still do not dare to make an online purchase mainly because they cannot physically view the product. As a result of this, innovative technologies have start...

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Detalles Bibliográficos
Autores: Aparicio, Ricardo Alfredo Guevara, Aliaga, Jordy Jhonatan Rojas, Velasco, David Gerardo Quevedo
Formato: artículo
Fecha de Publicación:2022
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:español
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/668990
Enlace del recurso:http://hdl.handle.net/10757/668990
Nivel de acceso:acceso embargado
Materia:augmented reality
E-business
E-commerce
online shopping
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dc.title.es_PE.fl_str_mv Mobile Application for the Recommendation of Furniture and Appliances Through Augmented Reality to Improve The User Experience in The Online Shopping Process
title Mobile Application for the Recommendation of Furniture and Appliances Through Augmented Reality to Improve The User Experience in The Online Shopping Process
spellingShingle Mobile Application for the Recommendation of Furniture and Appliances Through Augmented Reality to Improve The User Experience in The Online Shopping Process
Aparicio, Ricardo Alfredo Guevara
augmented reality
E-business
E-commerce
online shopping
title_short Mobile Application for the Recommendation of Furniture and Appliances Through Augmented Reality to Improve The User Experience in The Online Shopping Process
title_full Mobile Application for the Recommendation of Furniture and Appliances Through Augmented Reality to Improve The User Experience in The Online Shopping Process
title_fullStr Mobile Application for the Recommendation of Furniture and Appliances Through Augmented Reality to Improve The User Experience in The Online Shopping Process
title_full_unstemmed Mobile Application for the Recommendation of Furniture and Appliances Through Augmented Reality to Improve The User Experience in The Online Shopping Process
title_sort Mobile Application for the Recommendation of Furniture and Appliances Through Augmented Reality to Improve The User Experience in The Online Shopping Process
author Aparicio, Ricardo Alfredo Guevara
author_facet Aparicio, Ricardo Alfredo Guevara
Aliaga, Jordy Jhonatan Rojas
Velasco, David Gerardo Quevedo
author_role author
author2 Aliaga, Jordy Jhonatan Rojas
Velasco, David Gerardo Quevedo
author2_role author
author
dc.contributor.author.fl_str_mv Aparicio, Ricardo Alfredo Guevara
Aliaga, Jordy Jhonatan Rojas
Velasco, David Gerardo Quevedo
dc.subject.es_PE.fl_str_mv augmented reality
E-business
E-commerce
online shopping
topic augmented reality
E-business
E-commerce
online shopping
description Due to the increase in online shopping, companies are looking to reinvent themselves and improve their ecommerce platforms. However, some users still do not dare to make an online purchase mainly because they cannot physically view the product. As a result of this, innovative technologies have started to emerge. Therefore, this project seeks to improve the customer's user experience, using augmented reality and colour recognition to recommend products in a mobile application. For the development of the application, ARCore was used as a software development kit (SDK) to display products and take measures with augmented reality. In addition, a colour recommendation was implemented using the Palette API (Application Programming Interface) for colour recognition and an algorithm based on colour theory to generate the combinations. The usability of the application was evaluated by a group of users, who completed a form that was based on Nielsen's heuristic principles. The main conclusions of the analysis of the responses are that they would make purchases using the application without having to physically see the product, users understood the purpose of using augmented reality and colour recognition to obtain recommendations. In addition, they were able to use all the functionalities implemented in the application without the need for a user manual, which highlights the minimalist design and ease of use of the application.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2023-10-17T21:23:42Z
dc.date.available.none.fl_str_mv 2023-10-17T21:23:42Z
dc.date.issued.fl_str_mv 2022-06-15
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.doi.none.fl_str_mv 10.1145/3545897.3545898
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/668990
dc.identifier.journal.es_PE.fl_str_mv ACM International Conference Proceeding Series
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dc.publisher.es_PE.fl_str_mv Association for Computing Machinery
dc.source.es_PE.fl_str_mv Universidad Peruana de Ciencias Aplicadas (UPC)
Repositorio Académico - UPC
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spelling d2a04948a2ccfced41fddd86d28fa6ea300444fdcc402e52c573c5f2fae987333a23001bd03ee7953d29cbc717b09bbb4b9d96Aparicio, Ricardo Alfredo GuevaraAliaga, Jordy Jhonatan RojasVelasco, David Gerardo Quevedo2023-10-17T21:23:42Z2023-10-17T21:23:42Z2022-06-1510.1145/3545897.3545898http://hdl.handle.net/10757/668990ACM International Conference Proceeding Series2-s2.0-85139843839SCOPUS_ID:851398438390000 0001 2196 144XDue to the increase in online shopping, companies are looking to reinvent themselves and improve their ecommerce platforms. However, some users still do not dare to make an online purchase mainly because they cannot physically view the product. As a result of this, innovative technologies have started to emerge. Therefore, this project seeks to improve the customer's user experience, using augmented reality and colour recognition to recommend products in a mobile application. For the development of the application, ARCore was used as a software development kit (SDK) to display products and take measures with augmented reality. In addition, a colour recommendation was implemented using the Palette API (Application Programming Interface) for colour recognition and an algorithm based on colour theory to generate the combinations. The usability of the application was evaluated by a group of users, who completed a form that was based on Nielsen's heuristic principles. The main conclusions of the analysis of the responses are that they would make purchases using the application without having to physically see the product, users understood the purpose of using augmented reality and colour recognition to obtain recommendations. 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