Applying Machine Learning Concept to Provide Adaptable Digital Tour Guide System

Abstract

At present, the tour guide methods of historic sites and museums can be divided into traditional tour guide and digital tour guide. The traditional tour guide methods have labor-consuming problems, while most digital tour guide methods cannot provide users with personalized and adaptive tour guide services. Therefore, in order to enable users to have better personalized and adaptive tour guide process experience, this research used the concept of artificial intelligence machine learning to develop an adaptive digital tour guide system, which not only enables users to use gesture recognition to simply operate the system, but also provides an electronic map combined with machine learning to develop a personalized tour guide process and recommends the next tour guide work to be carried out by the user, so that the learner can have better learning effect. This study also hoped to provide a more user-friendly tour guide process and mechanism in this way.