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我が国におけるサービス業の生産性の低さが問題視されている.特に人口減少社会において持続的な経済成長を実現するためには生産性向上は喫緊の問題であり,情報技術(IT)活用による高効率化が有力な方策の1つとして期待されている.本研究は,サービス業の流通産業(卸・小売業),中でも小売業を対象としたIT活用による生産性向上を目標としている.具体的には,超音波センサを用いた振舞い認知システムにより売場での人間(顧客)の振舞いデータを計測・収集し,顧客の振舞いデータを基にした的確な販売促進を行うことで売場生産性向上の実現を目指すものである.換言すれば,工学的なアプローチによる顧客行動の数値化に基づいた科学的なマーケティング意思決定を可能にするものである.本稿では,超音波センサとサポートベクターマシンを用いた振舞い認知システムを提案する.被験者を用いた仮想売場での振舞い認知実験の結果から,提案手法による顧客振舞い認知が可能であることを確認した.In this paper, we propose an automated marketing information system for recognizing customer buying behavior in a store using ultrasound sensor and support vector machine. Customer buying behavior means the acts of person involved in buying decision processes at selling area of retailers such as supermarket and shopping center. For example, customer stops in front of shelf, and stretches hand to grasp goods etc. These behaviors express signals of customers' interest in goods. In Japan, many retailers are in face of a difficult problem of low productivity of selling area. One of the biggest problems is that most retailers tend to overlook their customer's behaviors. The retailers must be aware of these customer behaviors as important marketing data in order to make the optimum sales promotion that is well suited to their customer behavior. By some experimental results, we verified that the proposed system can recognize customer buying behavior. The use of our marketing information system will do a lot for making a good example of raising the productivity of selling area using information technology

chinou to jouhou

Development of a Marketing System for Recognizing Customer Buying Behavior in a Store Using Ultrasound Sensor-Fundamental Experiment of Sensing Customer's Behavior for Raising the Productivity of Selling Area Using Information Technology-