# ARShopping: In-Store Shopping Decision Support Through Augmented Reality and Immersive Visualization

**Authors:** Bingjie Xu, Shunan Guo, Eunyee Koh, Jane Hoffswell, Ryan Rossi, Fan Du  
**arXiv:** [2207.07643](https://arxiv.org/abs/2207.07643)  
**Date:** 2022-07-15  
**Summary page:** https://www.summarizepaper.com/en/arxiv-id/2207.07643v1/

## Key points

- ARShopping is a web-based prototype that uses augmented reality (AR) to provide detailed product information in physical stores
- The prototype aims to enhance the in-store shopping experience by allowing consumers to visually compare products and make informed purchasing decisions
- A data fusion algorithm was used to improve the precision of product detection
- AR visualizations were integrated into the scene for easy comparison of multiple products and features
- Interviews with 14 participants found the prototype easy to use, but raised concerns about internet connectivity and battery consumption
- Participants expressed a desire for additional features such as product recommendations, price comparisons, and historical price trends
- Limitations include the need for further testing on different devices and real-world usage scenarios
- ARShopping combines online product details with augmented reality visualizations to improve in-store shopping experiences
- Future research directions include enhancing visualization design, incorporating more narratives for intuitive comparison results, optimizing performance for real-world usage scenarios, and adding features such as product recommendations and price comparisons with historical price trends.

## Summary

The study presents ARShopping, a web-based prototype that utilizes augmented reality (AR) to provide detailed product information in physical stores. The prototype aims to enhance the in-store shopping experience by allowing consumers to visually compare products and make informed purchasing decisions. The researchers used a data fusion algorithm to improve the precision of product detection and integrated AR visualizations into the scene for easy comparison of multiple products and features. The prototype was designed based on interviews with 14 participants, who found it easy to use but raised concerns about internet connectivity and battery consumption. Participants also expressed a desire for additional features such as product recommendations, price comparisons, and historical price trends. The study acknowledges limitations including the need for further testing on different devices and real-world usage scenarios. Overall, ARShopping offers new possibilities for improving in-store shopping experiences by combining online product details with augmented reality visualizations. Future research directions include enhancing visualization design, incorporating more narratives for intuitive comparison results, optimizing performance for real-world usage scenarios, incorporating more features such as product recommendations and price comparisons with historical price trends into the prototype design.