Research

Commercial shop simulation

• Team  Mind Computation Lab

• Principle Investigator Professor Seung Wan Hong, Inha University; Chang Yeon Cho, Spatial Intelligence Director, Gensler

• Funding details  This project was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) grants funded by the Ministry of Education (NRF-2016R1C1B2011274) and Ministry of Science and ICT (NRF-2020R1A2C1010421) of the Korean government.

This project investigates sports store design performance via profitability relying on customer interest and satisfaction-associated metrics such as distance, complexity, bottlenecks, and other possible event situations resulting from the various consumers' activities. The metrics were widely explored to enhance design performance and user experience under the advice of the principal investigators, Prof. Seung Wan Hong, Inha University, and Spatial Intelligence Director, Chang Yeon Cho, Gensler. 

In the development, we structured the behavior dataset based on the customers and clerks and considered the relationship between customers' interests, display layouts, and event space. The simulation algorithm computes visual exposure to the displayed item and the information about the item by tagging. The system calculates the frequency of exposure and matches it with the customer's interest. 

The algorithm tracks visual exposure and item information via tagging, calculates exposure frequency, and aligns it with customer interests.