Virtual Social Immersive Multi-Sensory E-Commerce
September 09, 2025 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Alpana Dubey, Suma Mani Kuriakose, Sumukha Anand, Nitish Bhardwaj, Shubhashis Sengupta
arXiv ID
2510.15894
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.MM
Citations
0
Venue
arXiv.org
Last Checked
5 months ago
Abstract
In this paper, we present a virtual immersive multi sensorial experience, Aromaverse. Aromaverse is an immersive 3D multiplayer environment augmented with olfactive experience where users can experience and customize perfumes. Being multi player, users can join the same space and enjoy a social buying experience. The olfactive experience embodied in the perfume allows users to experience their fragrances. This further enhances the user perception of perfumes in a virtual setting. Aromaverse also provides the ability to customize the perfumes by changing their top, mid, and base notes. The customized fragrances can be shared with other users, enabling a shared olfactive experience. To understand users' buying experience in such an environment, we conducted a set of experiments in which participants were requested to explore the space, experience the perfumes, customize them and buy them. They were asked to perform the same activities alone and in the presence of their friends. Various factors including the benefits and limitations of such an experience were captured by the questionnaires. Our results show that the presence of a companion enhances the shopping experience by improving the level of imagination of the product and helping in making purchase decisions. Our findings suggest that multi sensorial XR experiences offer great opportunities to retail firms to improve customer engagement and provide more realistic online experience of products that require other sensory modalities
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Human-Computer Interaction
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Improving fairness in machine learning systems: What do industry practitioners need?
R.I.P.
π»
Ghosted
Identifying Stable Patterns over Time for Emotion Recognition from EEG
R.I.P.
π»
Ghosted
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
R.I.P.
π»
Ghosted
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
R.I.P.
π»
Ghosted
Educational data mining and learning analytics: An updated survey
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted