Emotion Orientated Recommendation System for Hiroshima Tourist by Fuzzy Petri Net

TL;DR

This paper presents an emotion-aware tourist recommendation system for Hiroshima that uses fuzzy Petri Nets and emotion modeling to personalize suggestions and improve human-smartphone interaction.

Contribution

It introduces a novel combination of emotion estimation and fuzzy Petri Net reasoning for personalized tourist recommendations.

Findings

System effectively estimates user emotions and moods.

Fuzzy Petri Net reasoning improves recommendation smoothness.

Application enhances Hiroshima tourist experience.

Abstract

We developed an Android Smartophone application software for tourist information system. Especially, the agent system recommends the sightseeing spot and local hospitality corresponding to the current feelings. The system such as concierge can estimate user's emotion and mood by Emotion Generating Calculations and Mental State Transition Network. In this paper, the system decides the next candidates for spots and foods by the reasoning of fuzzy Petri Net in order to make more smooth communication between human and smartphone. The system was developed for Hiroshima Tourist Information and described some hospitality about the concierge system.