Mobile Application for the Recommendation of Furniture and Appliances Through Augmented Reality to Improve The User Experience in The Online Shopping Process
Descripción del Articulo
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...
| Autores: | , , |
|---|---|
| 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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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. |
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2022 |
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2023-10-17T21:23:42Z |
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2023-10-17T21:23:42Z |
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2022-06-15 |
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10.1145/3545897.3545898 |
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http://hdl.handle.net/10757/668990 |
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2-s2.0-85139843839 |
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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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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).