Developing the Museum-Monumental Experience from Linear to Interactive Using Chatbots
Lazaros Toumanidis (),
Dimitrios G. Kogias,
Michalis Feidakis and
Charalampos Z. Patrikakis ()
Additional contact information
Lazaros Toumanidis: University of West Attica
Petros Karapetros: University of West Attica
Christos Giannousis: University of West Attica
Dimitrios G. Kogias: University of West Attica
Michalis Feidakis: University of West Attica
Charalampos Z. Patrikakis: University of West Attica
A chapter in Strategic Innovative Marketing and Tourism, 2019, pp 1159-1167 from Springer
Abstract Under the general hypothesis that a museum or a monument can create qualitative learning experiences for their visitors by using the latest technology of Artificial Intelligence, this paper presents a proposal on the use of chatbots (e.g., digital co-speech emulators) in order to enhance a museum visitor’s experience. Two examples, making use of real use cases for the Museum of Greek Folk Art in Athens, are presented where two chatbots are proposed, covering the needs of prior and during the visit, together with a reference implementation on a mobile device. A methodology for evaluating the results of application of the proposal, based on semi-structured interviews for experts is also provided, in order to assist the application of the proposed idea in different cases.
Keywords: Artificial intelligence; Chatbots; Interaction; Museum; Mobile learning; Mobile application (search for similar items in EconPapers)
References: Add references at CitEc
Citations: Track citations by RSS feed
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-030-12453-3_133
Ordering information: This item can be ordered from
Access Statistics for this chapter
More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().