Affective Recommendation System for Tourists by Using Emotion Generating Calculations
| Autor: | Issei Tachibana, Takumi Ichimura |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
FOS: Computer and information sciences
Computer science Computer Science - Artificial Intelligence media_common.quotation_subject Computer Science - Human-Computer Interaction Recommender system Application software computer.software_genre Human-Computer Interaction (cs.HC) Computer Science - Information Retrieval Artificial Intelligence (cs.AI) Feeling Human–computer interaction Information system Intelligent interface Conversation Android (operating system) computer Humanoid robot Information Retrieval (cs.IR) media_common |
| Popis: | An emotion orientated intelligent interface consists of Emotion Generating Calculations (EGC) and Mental State Transition Network (MSTN). We have developed the Android EGC application software which the agent works to evaluate the feelings in the conversation. In this paper, we develop the tourist information system which can estimate the user's feelings at the sightseeing spot. The system can recommend the sightseeing spot and the local food corresponded to the user's feeling. The system calculates the recommendation list by the estimate function which consists of Google search results, the important degree of a term at the sightseeing website, and the the aroused emotion by EGC. In order to show the effectiveness, this paper describes the experimental results for some situations during Hiroshima sightseeing. 6 pages, 10 figures. arXiv admin note: substantial text overlap with arXiv:1804.02657 and arXiv:1804.03994 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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