An Ontology-Based Chatbot to Enhance Experiential Learning in a Cultural Heritage Scenario

Author:

Casillo Mario,De Santo Massimo,Mosca Rosalba,Santaniello Domenico

Abstract

Italy is rich in cultural attractions, many known worldwide, others more hidden and unrecognized. Cultural attractions include tangible cultural assets (works of art, archaeological excavations, and churches) and intangible ones (music, poetry, and art). Today, given the pervasive diffusion of “smart” devices, the intelligent use of modern technologies could play a crucial role in changing the habit of consulting and visiting cultural heritage mainly with traditional methodologies, making little or no use of the advantages coming from the more and more availability of digitalized resources. A realm of particular interest is “experiential learning” when applied to cultural heritage, where tourists more and more ask to be helped in discovering the richness of sites they explore. In this article, we will present an innovative chatbot-based system, called HeriBot, that supports experiential tourism. Our system has been developed and experimented with a research effort for applying ICT technologies to enhance the knowledge, valorization, and sustainable fruition of the Cultural Heritage related to the Archaeological Urban Park of Naples (PAUN—Parco Archeologico Urbano di Napoli). Our article starts exploiting the ontological approach based on a purpose ontology describing the Park Heritage. Using such an ontology, we designed a chatbot that can identify the specific characteristics and motivations of the tourist, defining language, tone, and visitable scenarios and, through the ontology, allows the visit to be transformed into a personalized educational opportunity. The system has been validated in terms of dialogue effectiveness and training efficiency by a panel of experts, and we present and discuss obtained results.

Publisher

Frontiers Media SA

Subject

General Medicine

Reference42 articles.

1. Chatbots: history, technology, and applications;Adamopoulou;Machine Learn. Appl.,2020

2. “A cognitive model for emotion awareness in industrial chatbots,”;Adikari;2019 IEEE 17th International Conference on Industrial Informatics (INDIN),2019

3. Review of the state-of-the-art design techniques for chatbots;Agarwal;SN Comput. Sci.,2020

4. “OntBot: ontology based chatbot,”;Al-Zubaide;International Symposium on Innovations in Information and Communications Technology,2011

5. Educational tourism and experiential learning: students' perceptions of field trips;Arcodia;Torism Rev,2021

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhancing Work Productivity through Generative Artificial Intelligence: A Comprehensive Literature Review;Sustainability;2024-01-30

2. The Role of Chatbot Technology in the Cultural Value Proposition;Advances in Marketing, Customer Relationship Management, and E-Services;2023-11-17

3. Design Travel Keywords for Improved Chatbot Information Communications and Services using Ontology;2023 13th International Conference on Software Technology and Engineering (ICSTE);2023-10-27

4. Artificial Intelligence-Based Chatbot Model Providing Expert Advice to Potato Farmers in Kenya;2023 IEEE AFRICON;2023-09-20

5. Semantic technology for cultural heritage: a bibliometric-based review;Global Knowledge, Memory and Communication;2023-08-22

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3