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...
Main Authors: | , , , |
---|---|
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 |
id |
doaj-95c1de144ced4e219f95f6c62e98728a |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT davidcontreras a3dvisualinterfaceforcritiquingbasedrecommendersarchitectureandinteraction AT mariasalamo a3dvisualinterfaceforcritiquingbasedrecommendersarchitectureandinteraction AT inmaculadarodriguez a3dvisualinterfaceforcritiquingbasedrecommendersarchitectureandinteraction AT annapuig a3dvisualinterfaceforcritiquingbasedrecommendersarchitectureandinteraction AT davidcontreras 3dvisualinterfaceforcritiquingbasedrecommendersarchitectureandinteraction AT mariasalamo 3dvisualinterfaceforcritiquingbasedrecommendersarchitectureandinteraction AT inmaculadarodriguez 3dvisualinterfaceforcritiquingbasedrecommendersarchitectureandinteraction AT annapuig 3dvisualinterfaceforcritiquingbasedrecommendersarchitectureandinteraction |
_version_ |
1716812928989003776 |