Browse > Article
http://dx.doi.org/10.15207/JKCS.2020.11.11.115

The Study of Framework of Structural Scenarios for Chatbot Docent in Science Centers and Museums  

Kim, Hong-Jeong (Science Heritage and Preservation Division, National Science Museum)
Rhee, Sang-Won (Department of Science Education, Daegu University)
Jeong, Seok-Hoon (R&D Division, National Science Museum)
Tahk, Hyun-Soo (Science Education Department, National Science Museum)
Publication Information
Journal of the Korea Convergence Society / v.11, no.11, 2020 , pp. 115-121 More about this Journal
Abstract
This study aims to develop a framework of structural scenarios for chatbot docent that supports visitors' activities in science centers and museums, and to suggest the application examples. For this study, the author adapted Focus Group Interview. As a result, the frameworks of scenarios could be categorized into the Collection of Science and Technology(CST) and Inquiry-Based Exhibition(IBE). These frameworks had dimensions of the primary and storytelling in common. Especially, framework of IBE scenario was added the usage dimension considering the characteristics of interaction between exhibits and visitors. This study could be basic materials for AI chatbot to support exhibition descriptions using the built data, and is expected to be help develop a more visitor-oriented scenarios of activities.
Keywords
Scenario; Chatbot; Docent; Science Centers and Museums; Exhibition Description; FGI;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 National Science Museum. (2010). Introduction of Science Museum, Daegeon : National Science Museum.
2 Ministry of Science, ICT and Future. (2014). The 3rd Basic Plan for Promotion of Science Centers and Museums. HRST Policy Paltform. https://hrstpolicy.re.kr
3 National Science Museum. (2019). 2018 Annual Report of Science Museum in Korea, Daegeon : National Science Museum.
4 J. Choi & T. Nam. (2018). The Effect of Science Museum Exhibition Commentary Programs on User Satisfaction and Intention to Revisit. Korea Science & Art Forum, 36, 401-412.   DOI
5 J. Lee & Y. Park. (2013). A Case Study of Experienced Docent's Expertise in Science Exhibit Interpretation Using a Life History Approach, Journal of the Korean Earth Science Society, 34(3), 257-273.   DOI
6 G. Kim, K. Chung, H. Kang & H. Lee. (2019). Perceptions of High School Students on Informal Science Learning and Career Exploration through Volunteering as a Science Museum Docent, Journal of Research in Curriculum & Instruction, 23(4), 277-289.   DOI
7 S. Song. (2017). Historical Development of Industrial Revolutions and the Place of So called 'the Fourth Industrial Revolution'. Journal of Science & Technology Studies, 7(2), 6-40.
8 J. Park, K. Yoon, S. Min. (2019). Trends of Chatbot technology based on Artificial Intelligence. Korea Information Processing Society review, 26(2), 39-46.
9 G. Seo. (2018). Report of Analysis and Development prospects of Chatbot Service Based on AI. Daegu : National Information Society Agency.
10 G. Gaia, S. Boiano, A. Borda. (2019). Museums and digital culture: new perspectives and research : Chapter 15. Engaging Museum Visitors with AI: The Case of Chatbots. Cham ; Springer, 309-329.
11 M. Casillo, F. Clarizia, G. D'Aniello, M. Santo, M. Lombardi & D. Santaniello. (2020). Chat-Bot: A cultural heritage aware teller-bot for supporting touristic experiences. Pattern Recognition Letters, 131, 234-243.   DOI
12 V. Savvas, K. Konstantinos, S. Andreas, T. Alexandros, T. George & S. Dimitris. (2020). Towards implementing an AI chatbot platform for museums. International Conference on Cultural Informatics, Communication & Media Studies, 1, 1-15.
13 F. Barth. (2018). The Voice of Art with IBM Watson: Technical Details and Challenges. IBM think 2018 fbarth.net.br/materiais/docs
14 R. Batish. (2018). Voicebot and Chatbot Design: Flexible conversational interfaces with Amazon Alexa, Google Home, Facebook Messenger. Packt Publishing Limited.
15 Dialogflow. (2019). Build natural and rich conversational experiences, Dialogflow. https://dialogflow.com
16 G. B. Lee. (2018). Developed intelligent UI/UX technology for AR glasses-based docent operation. National Digital Science Library. https://www.ndsl.kr.
17 National Science Museum. (2015). The Final Report of Master Plan of Exhibition in National Science Museum, Daegeon : National Science Museum.
18 Gwacheon National Science Museum. (2018). A Study of Basic Exhibition Goal and Conceptual Planning, Gwacheon : Gwacheon National Science Museum.
19 Busan National Science Museum. (2020) Exhibition Introduction. Busan National Science Museum. https://www.sciport.or.kr
20 Ministry of Science and ICT. (2009). The Investigation for Determination of Exhibition in Daegu and Gwangju National Science Museum. On-nara Policy Research. http://prism.go.kr
21 A. Friedman. (2010). The Evolution of the Science Museum. Physics Today, 63(10), 45-51. DOI: 10.1063/1.3502548   DOI
22 S. Lee & H. Kim. (2015). Report of Activation of research in Science Centers and Museums. Daegeon : National Science Museum.