The Inspiring Store: Decision Support System for Shopping Based on Individual Interests

This paper proposes a ubiquitous environment store, which is composed of cameras, sensors and displays, for supporting decision concerning commodities based on each customer’s shopping interest. This store suggests that three analyzing views can be utilized to analyse relations between customers’ interests and their behaviours towards commodities. This store collects data on the behaviour of each customer, who has agreed to be observed, and makes individual models by analyzing collected data. This store also provides commodity information, which is decided by the individual’s model, to each customer through a display, which is in front of this customer. Comparing this system to a non-system through a purchase experiment of clothes shows this effectiveness of this system.