Exploiting 3D Web to Enhance Online Shopping: Toward an Update of Usability Heuristics

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Abstract

Online shopping has become a widespread habit for millions of users all over the world. E-stores are very convenient for both customers and retailers, because they are accessible 24/7 from anywhere in the world. However, they also convey relevant drawbacks for both parties: customers can only explore endless grids of flat items, and retailers are likely to struggle to manage and update their e-commerce autonomously. Here we present an e-commerce platform levering on 3DWeb technology that is meant to enhance the sopping experience for customers on the one side, and to retailers to independently operate on their e-store. The experience of user with Hybrid Consumer Interface and the Hybrid Seller Interface were evaluated in two interdependent sessions with representative end users (N = 57 in total). Even of both interfaces are still at a prototypical stage, results from the experimental sessions show promising outcomes.

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Orso, V., Campanini, M. L., Pierobon, L., Portello, G., Monaro, M., Bettelli, A., & Gamberini, L. (2023). Exploiting 3D Web to Enhance Online Shopping: Toward an Update of Usability Heuristics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 14038 LNCS, pp. 450–460). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-35969-9_30

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