A 3D Visual Interface for Critiquing-based Recommenders: Architecture and Interaction

Nowadays e-commerce websites offer users such a huge amount of products, which far from facilitating the buying process, actually make it more difficult. Hence, recommenders, which learn from users’ preferences, are consolidating as valuable instruments to enhance the buying process in the 2D Web. I...

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Main Authors: David Contreras, María Salamó, Inmaculada Rodríguez, Anna Puig
Format: Article
Language:English
Published: Universidad Internacional de La Rioja (UNIR) 2015-06-01
Series:International Journal of Interactive Multimedia and Artificial Intelligence
Subjects:
Online Access:http://www.ijimai.org/journal/node/762
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spelling doaj-95c1de144ced4e219f95f6c62e98728a2020-11-24T20:46:20ZengUniversidad Internacional de La Rioja (UNIR)International Journal of Interactive Multimedia and Artificial Intelligence1989-16601989-16602015-06-01337510.9781/ijimai.2015.332ijimai.2015.332A 3D Visual Interface for Critiquing-based Recommenders: Architecture and InteractionDavid ContrerasMaría SalamóInmaculada RodríguezAnna PuigNowadays e-commerce websites offer users such a huge amount of products, which far from facilitating the buying process, actually make it more difficult. Hence, recommenders, which learn from users’ preferences, are consolidating as valuable instruments to enhance the buying process in the 2D Web. Indeed, 3D virtual environments are an alternative interface for recommenders. They provide the user with an immersive 3D social experience, enabling a richer visualisation and increasing the interaction possibilities with other users and with the recommender. In this paper, we focus on a novel framework to tightly integrate interactive recommendation systems in a 3D virtual environment. Specifically, we propose to integrate a Collaborative Conversational Recommender (CCR) in a 3D social virtual world. Our CCR Framework defines three layers: the user interaction layer (3D Collaborative Space Client), the communication layer (3D Collaborative Space Server), and the recommendation layer (Collaborative Conversational Recommender). Additionally, we evaluate the framework based on several usability criteria such as learnability, perceived efficiency and effectiveness. Results demonstrate that users positively valued the experiencehttp://www.ijimai.org/journal/node/7623D TechnologiesCollaborationVirtual Worlds
collection DOAJ
language English
format Article
sources DOAJ
author David Contreras
María Salamó
Inmaculada Rodríguez
Anna Puig
spellingShingle David Contreras
María Salamó
Inmaculada Rodríguez
Anna Puig
A 3D Visual Interface for Critiquing-based Recommenders: Architecture and Interaction
International Journal of Interactive Multimedia and Artificial Intelligence
3D Technologies
Collaboration
Virtual Worlds
author_facet David Contreras
María Salamó
Inmaculada Rodríguez
Anna Puig
author_sort David Contreras
title A 3D Visual Interface for Critiquing-based Recommenders: Architecture and Interaction
title_short A 3D Visual Interface for Critiquing-based Recommenders: Architecture and Interaction
title_full A 3D Visual Interface for Critiquing-based Recommenders: Architecture and Interaction
title_fullStr A 3D Visual Interface for Critiquing-based Recommenders: Architecture and Interaction
title_full_unstemmed A 3D Visual Interface for Critiquing-based Recommenders: Architecture and Interaction
title_sort 3d visual interface for critiquing-based recommenders: architecture and interaction
publisher Universidad Internacional de La Rioja (UNIR)
series International Journal of Interactive Multimedia and Artificial Intelligence
issn 1989-1660
1989-1660
publishDate 2015-06-01
description Nowadays e-commerce websites offer users such a huge amount of products, which far from facilitating the buying process, actually make it more difficult. Hence, recommenders, which learn from users’ preferences, are consolidating as valuable instruments to enhance the buying process in the 2D Web. Indeed, 3D virtual environments are an alternative interface for recommenders. They provide the user with an immersive 3D social experience, enabling a richer visualisation and increasing the interaction possibilities with other users and with the recommender. In this paper, we focus on a novel framework to tightly integrate interactive recommendation systems in a 3D virtual environment. Specifically, we propose to integrate a Collaborative Conversational Recommender (CCR) in a 3D social virtual world. Our CCR Framework defines three layers: the user interaction layer (3D Collaborative Space Client), the communication layer (3D Collaborative Space Server), and the recommendation layer (Collaborative Conversational Recommender). Additionally, we evaluate the framework based on several usability criteria such as learnability, perceived efficiency and effectiveness. Results demonstrate that users positively valued the experience
topic 3D Technologies
Collaboration
Virtual Worlds
url http://www.ijimai.org/journal/node/762
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