PREDICTION OF CONSUMERS' INTENSION THROUGH THEIR BEHAVIOR OBSERVATION IN UBIQUITOUS SHOP SPACE
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This paper has studied and observed the consumer behavior by collecting all kinds of actions of consumers and applying the ubiquitous environment which are RFID and camera sensors to gathering log data. The consumer's behavior was automatically saved as a log file and analyzed by using artificial neural network. From neural network model allows us to categorize theconsumers into 3 groups which are: A) the consumers who were certain in buying a product, B) the consumers who intended to buy a product but could not decide what to buy, and C) the consumers who did not intend to buy but stop by to view the product.
- KANSEI Engineering International
KANSEI Engineering International 7(2), 189-195, 2008
Japan Society of Kansei Engineering