Context-Aware Generation of Personalized Audio Tours: Approach and Evaluation

Abstract

Development of information and communication technologies together with growing popularity of e-tourism open boundaries for new concepts and approaches. Automated tours is one of such directions. There exist a number of approaches aimed at selecting a particular tour based on the analysis of certain parameters. In the paper, the authors consider an approach to generation of audio tours from available fragments based on the analysis of the context and tourists’ preferences. This makes it possible for the tours to be very flexible and adjustable “on-the-go” based on the tourist feedback or actions. The approach is evaluated through an experiment that has shown a high level of acceptance of the generated tours by people. Future work is aimed at implementation and evaluation of the feedback analysis to improve the system. It is suggested to replace explicit feedback with analysis of tourist’s actions like skipping some fragments or searching for more information.