A Context-Aware Chatbot for Tourist Destinations

Fabio Clarizia, Francesco Colace, Massimo De Santo, Marco Lombardi, Francesco Pascale, Domenico Santaniello · 2019

The cultural heritage is one of the most important resources of the territory. It represents one of the scenarios where new technologies can provide more interesting contributions. In particular, adaptive systems and related services may increase the promotion of cultural heritage. In fact, tourists can use several services able to filter the huge amount of data present on the network in order to only provide relevant information. The aim of this paper is to introduce a chatbot based on a Context-Aware System. This chatbot recommends contents and services according to tourist profiles and context. For testing the proposed architecture, a prototype was developed in order to support tourists during a visit to some cultural sites in Campania: Paestum, Pompeii and Herculaneum. The first experimental results are encouraging and show the potential of the proposed approach.

Read the paper · More papers on PaperTik