From Tabimae Mind Search System to EmoTABI: Introduction of Atmosphere Emotion Extraction and the Verification

In recent years, there has been an observable proliferation of travel services available to travelers. Consequently, a shift has occurred in the manner in which travelers plan their journeys. Historically, travelers depended on travel guides and literature as primary sources of information. In the contemporary context, however, travelers are increasingly turning to emotional and experiential data to inform their travel planning decisions. The objective of this study is to propose travel destinations that are congruent with travelers’ preferences and emotional states. In this study, we propose the EmoTABI that extends the TABIMAE Mind Search System introducing an atmosphere emotion extraction.This system utilizes image data to discern travelers’ emotions, identify objects, and assess the prevailing atmosphere of a given location. The findings from the demonstration of this system indicate its potential for predicting the success of proposed tourist destinations in terms of their emotional appeal to travelers.