• 제목/요약/키워드: Smart Tourism Service

검색결과 119건 처리시간 0.019초

Smart Tourism Information System and IoT Data Collection Devices for Location-based Tourism and Tourist Safety Services

  • Ko, Tae-Seung;Kim, Byeong-Joo;Jwa, Jeong-Woo
    • International Journal of Advanced Culture Technology
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    • 제10권1호
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    • pp.310-316
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    • 2022
  • The smart tourism service provides services such as travel planning and tour guides to tourists using key technologies of the 4th industrial revolution, such as the Internet of Things, communication infrastructure, big data, artificial intelligence, AR/VR, and drones. We are developing smart tourism services such as recommended travel products, my travel itinerary, tourism information, and chatbots for tourists through the smart tourism app. In this paper, we develop a smart tourism service system that provides real-time location-based tourism information and weather information to tourists. The smart tourism service system consists of a smart tourism app, a smart tourism information system, and an IoT data collection device. The smart tourism information system receives weather information from the IoT data collection device installed in the tourist destination. The location-based smart tourism service is provided as a smart tourism app in the smart tourism information system according to the Beacon's UUID in the IoT data collection device. The smart tourism information system stores the Beacon's UUIDs received from tourists and provides a safe hiking service for tourists.

Personal Smart Travel Planner Service

  • Ki-Beom Kang;Myeong Gyun Kang;Seong-Hyuk Jo;Jeong-Woo Jwa
    • International Journal of Advanced Culture Technology
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    • 제11권4호
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    • pp.385-392
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    • 2023
  • The smart tourism service provides tourists with personal travel planner services and context-awareness-based tour guide services. In this paper, we propose the personal travel planner service that creates my travel itinerary using the smart tourism app and the travel planner system. The smart tourism app provides recommended travel products and POI tourist information used to create my travel itinerary. The smart tourism app also provides the smart tourism chatbot service that allows users to select POI tourist information easily and conveniently. The travel planner system consists of the smart tourism information system and the smart tourism chatbot system. The smart tourism information system provides users with travel planner services, recommended travel products, and POI tourism information through the smart tourism app. The smart tourism chatbot system consists of named entity recognition (NER), dialogue state tracking (DST), and Neo4J servers, and provides chatbot services as a smart tourism app. Users can create their own travel itinerary, modify the travel itinerary while traveling, and then register it as a recommended travel product to users, including acquaintances.

Development of a Tourism Information QA Service for the Task-oriented Chatbot Service

  • Hoon-chul Kang;Myeong-Gyun Kang;Jeong-Woo Jwa
    • International Journal of Advanced Culture Technology
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    • 제12권3호
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    • pp.73-79
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    • 2024
  • The smart tourism chatbot service provide smart tourism services to users easily and conveniently along with the smart tourism app. In this paper, the tourism information QA (Question Answering) service is proposed based on the task-oriented smart tourism chatbot system [13]. The tourism information QA service is an MRC (Machine reading comprehension)-based QA system that finds answers in context and provides them to users. The tourism information QA system consists of NER (Named Entity Recognition), DST (Dialogue State Tracking), Neo4J graph DB, and QA servers. We propose tourism information QA service uses the tourism information NER model and DST model to identify the intent of the user's question and retrieves appropriate context for the answer from the Neo4J tourism knowledgebase. The QA model finds answers from the context and provides them to users through the smart tourism app. We develop the tourism information QA model by transfer learning the bigBird model, which can process the context of 4,096 tokens, using the tourism information QA dataset.

Smart Tourism Development in Small and Medium Cities: The Case of Macao

  • Qi, Shanshan
    • Journal of Smart Tourism
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    • 제1권2호
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    • pp.27-36
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    • 2021
  • As a popular concept, smart tourism is widely used as a strategic tool to improve the competitiveness of world tourism destinations. Taking Macao as a case study, this research explores the relationship between government, academic research, and smart destination applications, with a view toward investigating the utilization of smart technology to achieve service innovation, effective communication with tourists, and enhance the travel experience. The study summarizes the current situation of smart tourism in Macao, finding that most of the smart services in Macao rely on users to obtain information spontaneously and do not achieve real interaction and service demand. Suggestions and advice for smart development are provided.

A Study on Smart Tourism Based on Face Recognition Using Smartphone

  • Ryu, Ki-Hwan;Lee, Myoung-Su
    • International Journal of Internet, Broadcasting and Communication
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    • 제8권4호
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    • pp.39-47
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    • 2016
  • This study is a smart tourism research based on face recognition applied system that manages individual information of foreign tourists to smartphone. It is a way to authenticate by using face recognition, which is biometric information, as a technology applied to identification inquiry, immigration control, etc. and it is designed so that tourism companies can provide customized service to customers by applying algorism to smartphone. The smart tourism system based on face recognition is a system that prepares the reception service by sending the information to smartphone of tourist service company guide in real time after taking faces of foreign tourists who enter Korea for the first time with glasses attached to the camera. The smart tourism based on face recognition is personal information recognition technology, speech recognition technology, sensing technology, artificial intelligence personal information recognition technology, etc. Especially, artificial intelligence personal information recognition technology is a system that enables the tourism service company to implement the self-promotion function to commemorate the visit of foreign tourists and that enables tourists to participate in events and experience them directly. Since the application of smart tourism based on face recognition can utilize unique facial data and image features, it can be beneficially utilized for service companies that require accurate user authentication and service companies that prioritize security. However, in terms of sharing information by government organizations and private companies, preemptive measures such as the introduction of security systems should be taken.

Development of Tourism Information Named Entity Recognition Datasets for the Fine-tune KoBERT-CRF Model

  • Jwa, Myeong-Cheol;Jwa, Jeong-Woo
    • International Journal of Internet, Broadcasting and Communication
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    • 제14권2호
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    • pp.55-62
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    • 2022
  • A smart tourism chatbot is needed as a user interface to efficiently provide smart tourism services such as recommended travel products, tourist information, my travel itinerary, and tour guide service to tourists. We have been developed a smart tourism app and a smart tourism information system that provide smart tourism services to tourists. We also developed a smart tourism chatbot service consisting of khaiii morpheme analyzer, rule-based intention classification, and tourism information knowledge base using Neo4j graph database. In this paper, we develop the Korean and English smart tourism Name Entity (NE) datasets required for the development of the NER model using the pre-trained language models (PLMs) for the smart tourism chatbot system. We create the tourism information NER datasets by collecting source data through smart tourism app, visitJeju web of Jeju Tourism Organization (JTO), and web search, and preprocessing it using Korean and English tourism information Name Entity dictionaries. We perform training on the KoBERT-CRF NER model using the developed Korean and English tourism information NER datasets. The weight-averaged precision, recall, and f1 scores are 0.94, 0.92 and 0.94 on Korean and English tourism information NER datasets.

Service Quality and Information Value of Online Travel Chat - A Case from KTO's 1330 Chat

  • Petya, Todorova;Hyemin, Kim;Chulmo, Koo
    • Journal of Smart Tourism
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    • 제2권4호
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    • pp.35-43
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    • 2022
  • Tourism businesses use chat services to provide immediate customer support and to help users navigate within a website, but there are more outcomes of this interaction that should be examined. The current study aimed to discover if the online travel chat service quality and information value of the online travel chat service lead to user satisfaction with the service and visit intention to a recommended destination by Korea Tourism Organization's 1330 Live Chat. The results indicate that information value (functional and innovation) and online travel chat service quality (reliability, assurance, and security) lead to satisfaction with the live chat service and visit intention to a recommended destination. The results can benefit practitioners who want to expand and improve their customer service interaction and recommendations, and to scholars who study the relationship between customer services in tourism recommendation and sales context.

Does Trust Matter to Use Hotel Service Robot in COVID-19 Pandemic?

  • Hee Chung Chung;Namho Chung
    • Journal of Smart Tourism
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    • 제3권2호
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    • pp.5-13
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    • 2023
  • Because of increasing anxiety about infectious diseases and the demand for contactless service caused by the COVID-19 pandemic, it has become crucial for the tourism and hospitality sector to understand customers' psychological mechanism of contactless service during and post COVID-19. Thus, this paper proposes a conceptual model by integrating trust in the framework of the behavioral immune system. Interestingly, our study found that anxiety about infectious diseases during the COVID-19 pandemic has not only increased hotel customers' desire for contactless service and changed their behavioral intentions, but it has also impacted customers' trust in hotel service robots. Therefore, irrespective of how the hotel service environment changes, trust in technology has become the most fundamental factor for hotel customers' attitudes toward adopting technology. Based on the results, this paper provides salient theoretical and practical implications.

스마트관광도시 관광객의 서비스스케이프 경험과 평가가 태도에 미치는 영향 (The Effect of Servicecape Experience and Evaluation on Attitudes of Smart Tourism City's Tourists)

  • 설명남;정남호
    • 서비스연구
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    • 제14권3호
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    • pp.19-45
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    • 2024
  • 국내외에서 스마트관광도시가 활발히 도입되면서, 실제 여행객이 느끼는 서비스 관점에서 현황을 파악하고 개선점을 마련해보려는 노력들이 등장하고 있다. 이에 본 연구는 개별적 제품, 서비스를 둘러싼 총체적 환경으로서 서비스스케이프 관점을 도입하여, 스마트관광도시 내에서 서비스스케이프 요소를 규정하고, 관광객의 서비스스케이프 체험이 그들의 가치 인식, 감정, 만족도에 미치는 영향을 분석함으로써, 스마트관광도시의 전반적 서비스 환경 개선을 위한 방향을 제시하고자 하였다. 물리적 서비스스케이프(청결성, 편의성, 전기시설)와 소통적 서비스스케이프(앱의 심미성, 실용성)로 구분하여 연구모형을 설계하였으며, 스마트관광도시인 수원시를 방문한 309명의 관광객을 대상으로 설문조사를 실시하였고 Smart PLS로 분석했다. 분석 결과, 물리적 서비스스케이프 중 청결성과 전기시설은 관광지 가치평가에 유의미한 영향을 미쳤으나, 편의성은 영향이 없었다. 소통적 서비스스케이프인 관광앱은 스마트관광가치와 전반적인 관광지 가치평가에 큰 영향을 미쳤다. 관광앱과 스마트관광가치는 관광객의 긍정적 감정을 높이고 부정적 감정을 낮추는 데 유의미한 역할을 했으며, 이는 최종적으로 관광 만족도에 영향을 미쳤다. 본 연구는 스마트관광도시에서 관광앱의 중요성과 함께 기본적인 물리적 환경의 중요성을 확인하였으며, 이를 통해 스마트관광도시의 서비스 개선 전략 수립에 유용한 시사점을 제공한다.

스마트 관광 발전을 위한 사례 분석 연구: 한국관광공사 사례 (Analysis of Case Study for Smart Tourism Development: Korea Tourism Organization's Smart Tourism Case)

  • 구철모;신승훈;김기헌;정남호
    • 한국콘텐츠학회논문지
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    • 제15권8호
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    • pp.519-531
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    • 2015
  • 정보 기술은 관광 산업에 있어 중요한 역할로서 적지 않은 영향을 끼치기 때문에 관광 산업은 항상 정보기술과의 융합을 실천해왔다. 이는 인터넷의 등장으로 인해 정보원의 규모가 확장되면서 가속화되었다. 특히, 스마트폰과 소셜 네트워크 서비스(SNS: Social Network Service)의 등장은 이러한 흐름의 주요한 사례로 볼 수 있다. 한국관광공사는 이러한 상황에 발맞춰 인터넷, 스마트폰 그리고 SNS를 토대로 스마트관광 시스템을 구축하고 있다. 본 연구에서는 이러한 한국관광공사의 스마트 관광 시스템의 각 플랫폼들을 분석하고 이들 사이의 연관성을 설명하는데 그 목적을 두고 있다.