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Supporting Users Experience in a 3D eCommerce Environment

Published: 07 September 2015 Publication History

Abstract

3D eCommerce spaces may often be highly populated spaces, with a huge number of users, areas and selling products. Therefore, their design should address different strategies to guide and assist users to locate and to be aware of the most interesting areas, products or users in there. In this paper, we present an approach to enhance and facilitate user buying experience in a large 3D eCommerce space. Specifically, we propose a collaborative recommendation framework which incorporates three types of interactive objects --the User Registration Object (URO), the Interactive Map Object (IMO), and the Recommendation Object (RO)-- to guide users along the whole buying experience.

References

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D. Contreras, M Salamó, I. Rodrguez, and A. Puig. Integrating a Conversational Recommender System within a 3D Collaborative Environment. In Proceedings of the XV Conference of Spanish Association for Artificial Intelligence, pages 89--98, 2013.
[2]
D. Contreras, M Salamó, I. Rodrguez, and A. Puig. An approach to improve user experience with conversational recommenders through a 3D virtual environment. In Proceedings of the XV International Conference on Human Computer Interaction, pages 403--406, 2014.
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J. Konstan and J. Riedl. Recommender systems: from algorithms to user experience. User Modeling and User-Adapted Interaction, 22(1-2):101--123, 2012.
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P. Lops, M. Gemmis, and G. Semeraro. Content-based recommender systems: State of the art and trends. In Recommender Systems Handbook, pages 73--105. Springer, 2011.
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T. Trescak, M. Esteva, and I. Rodriguez. Vixee an innovative communication infrastructure for virtual institutions. In The 10th Int. Conference on Autonomous Agents and Multiagent Systems - Vol. 3, pages 1131--1132, 2011.

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  1. Supporting Users Experience in a 3D eCommerce Environment

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      cover image ACM Other conferences
      Interacción '15: Proceedings of the XVI International Conference on Human Computer Interaction
      September 2015
      287 pages
      ISBN:9781450334631
      DOI:10.1145/2829875
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      In-Cooperation

      • Universitat Politècnica de Catalunya: Universitat Politècnica de Catalunya

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 07 September 2015

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      Author Tags

      1. 3D Virtual Worlds
      2. Recommender Systems
      3. Scalability

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      • Short-paper
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      • Refereed limited

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      Interacción '15

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      Overall Acceptance Rate 109 of 163 submissions, 67%

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