Development of technology to understand the tourist type

OSF-POS是我们开发的一个定量调查系统。随着OSF-POS的进一步完善，我们试图阐述技术的发展，以研究和估计客户类型的组成。当预期客户类型与客户的移动或行为有关系时，客户类型的构成比例将由OSF-POS数据以真实的时间为基础连续地获知。这些数据也将表明民族方法学调查的可能回答者。如果能大幅度降低民族方法学调查的选择成本，将大大提高调查的频率。我们已经做了事件的研究，其中客户的运动和他们的类型的连接是很好的预期。研究结果表明，该方法具有真实的时间基础上识别顾客的能力。

OSF-POS is a quantitative survey system we have developed. By the sophistication of this OSF-POS further, we have tried to set out the development of technology to research and estimate the composition of customer typology. When the customer typology is expected to have relationship with customers' movement or behavior, composition ratio of customer typology will be known by OSF-POS data in real time basis continuously. This data will also indicate the possible respondent of ethnomethodology survey. Reducing the cost of selecting the possible respondent of ethnomethodology survey drastically, the frequency of the survey will be much improved. We have done the research of events where the connection of customers' movements and their typology are well expected. The result suggests the potency to recognize the customers for qualitative research in real time basis.