HCAICLApr 8, 2018

Emotion Orientated Recommendation System for Hiroshima Tourist by Fuzzy Petri Net

arXiv:1804.02657v1
Originality Synthesis-oriented
AI Analysis

This is an incremental improvement for tourists in Hiroshima, focusing on personalized recommendations through emotion detection.

The paper tackles the problem of enhancing tourist experiences by developing an Android application that recommends sightseeing spots and local hospitality based on user emotions, using a system that estimates emotions and makes decisions via fuzzy Petri Net reasoning to improve communication between humans and smartphones.

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.

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