# Chatots for Cultural Venues: A Topic-Based Approach
## 1 Introduction
### Chatbots for Museums
[14] presents the development of a chatbot that employs three distinct modes, (a) a _question answering system_, similar to kiosk interaction; (b) a _docent mode_, where an avatar responds to questions narrating in natural language like a human docent would; and (c) an _historical figure_ mode, where an avatar of a person of the past and talks and responds to users using first person syntax. The proposed chatbot explores how chatbots affect history education and enhance the overall experience based on their language style and appearance. After conducting a user study, the authors present how the behavior of the users--visitors--in the museum changes based on the chatbot model, as well as how users with variant learning styles communicate with chatbot models. Ref. [15] presents a museum chatbot design based on semantics, aiming mainly to explore the alignment between designer intentions and user perceptions. The presented design explores different purposes (exhibit presentation, exhibit/museum exploration and learning), with corresponding designer aims and user expectations. The authors report on the findings of an experimental study for the design of the chatbot, whose results indicate that the formulation of design and acceptance criteria is manifested on a semantic rather than a technical level. [PERSON] et al. [16] studied the use of AI in the cultural heritage domain. They introduce an application that enables users to conduct a dialogue with a museum's exhibits through their smartphone. Furthermore, they present an AI algorithm which translates dialogue to Greek in order to increase the participation. [PERSON] et al. [17] present AIMuBot, an interactive system for querying and accessing information from the museum's knowledge base using natural language, both for query formulation and for response delivery, employing voice-based interaction. The presented system includes a voice-based GUI which assists visitors to refine their queries, supports voice-based interaction and is able to retrieve information concerning the exhibits from the museum's knowledge base. [PERSON] et al. [18] present a museum conversational UI, namely Chatbot in the Museum (ChiM). The presented system includes a natural language understanding subsystem which converts user input (user queries concerning the museum exhibits) into intentions and generates a textual and oral output. [PERSON] et al. [19] present a Context-Aware chatbot which is able to suggest services and contents based on tourist contexts and profiles. The presented chatbot is able to support a conversation with the tourist, using context and pattern recognition algorithms, as well as to control the presentation and evolution of the information given to the user. [PERSON] and [PERSON] [20] present a personalized guide system for heritage sites, namely Exhibot. The presented system utilizes audio augmented reality in order to stimulate immersive experiences to cultural site visitors, which take part in conversational interactions with AI chatbots. These chatbots play the role of 'talking' artifacts and exhibits. Furthermore, the proposed system recommends a transparent and natural model of visitor-exhibit interaction, as well as motivates visitors to play an exploratory role in information seeking. [PERSON] et al. [21] considered the conversation logs of visitors who interacted with \"The Voice of Art\", a voice-based chatbot used in the Pinacoteca Museum in Brazil, and found that the main topics that visitors ask when using a conversation chatbot are the meanings of the artworks and questions related to the intentions of the authors. The authors used the feedback that visitors provided about their overall experience when answering a survey, while the visitors' voice was transcribed by the system in real time using Speech to Text. [PERSON] et al. [22] present a chatbot which includes full-text search method and artificial intelligence markup language.