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[1G1-GS-10-01] AI service system using common value structure model that seamlessly connects real and online
Development of large-scale demonstration system and experimental report
Keywords:Service system, Probability model, Structure of value, Healthcare, Bayesian network
This paper reports on the construction of a value structure model and an AI application system that utilizes the model for the purpose of value co-creation that seamlessly connects the online and real worlds without distinguishing between them in a large-scale visitor attraction service. In this paper, we collect data on the changes in visitors' awareness and their migration and measurements that occur in real and online events, and furthermore, we conduct probability modeling that includes the actions of event staff. This allows us to model the value structure that is commonly recognized as a service system, and by using this model, we can make the value of the experience at the real event and the value of the service provided online common for each visitor. It will also be possible to provide additional experiences and post-event information online for each visitor after their visit. This will promote the creation of value together with visitors, on-site staff, and event planners involved in the event.
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