project. ATARI

project description. 

An increasing number of users and businesses report a lack of trust on the internet. Most internet users find it more difficult to assess the trustworthiness of individuals and companies online than in face-to-face interactions or when visiting physical stores. As a result, product reviews have become one of the primary decision-making criteria in online purchasing. They help users avoid potential disappointment by relying on the experiences of other customers. However, although product opinions are available in overwhelming quantities, this very abundance often makes it difficult for users to process them efficiently.

At the same time, customer expectations in e-commerce are evolving, particularly with regard to product representation. Consumers increasingly demand virtual applications that allow them to interact with products in advance or visualize them within a relevant context. Augmented Reality (AR), in particular, has gained significant importance in recent years and is becoming an established tool in both sales and marketing. This applies not only to online retail but also to brick-and-mortar stores, as a majority of customers already use their smartphones in-store to access additional product information online.

The ATARI project aims to bring together these two key components of modern retail: product reviews and product visualization. First, customer reviews from multiple websites are aggregated, automatically analyzed using machine learning, and compiled into structured evaluation reports. Second, the resulting data, reflecting key criteria derived from the reviews, is visualized within a WebAR environment, enabling customers to explore this information in an intuitive and interactive way.