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Identifier 000423226
Title Enhancing museum visitors’ experience through user-adapted interactive multimedia descriptions of exhibits
Alternative Title Ενίσχυση της εμπειρίας των επισκεπτών μουσείων μέσω προσωποποιημένης διαδραστικής πολυμεσικής πληροφόρησης
Author Sancov, Denis G.
Thesis advisor Στεφανίδης, Κωνσταντίνος
Reviewer Παπαγιαννάκης, Γεώργιος
Antona, Margherita
Abstract In the past decade, the availability and role of mobile phones have significantly increased. In the past, they were used solely for communication, while nowadays, modern smartphones have become hand-held portable high-performance computers. Their technological features allow people to use them for various tasks in various domains, including work, education, entertainment, etc., while their potential benefits and innovative use is still under investigation in other areas, such as the museum environment. This thesis proposes a system supporting the management of museum exhibits as well as the authoring and presentation of narratives to museum visitors. Narratives are dynamically generated according to predefined conditions and user profiles. This research work is rooted in the use of smartphones in Ambient Intelligence Environments, and in the exploitation of Semantic Web technologies for interactive authoring of narrative stories. Thus, smartphones augment the museum experience by presenting museum collections via Storytelling technologies. Various technologies stemming from different research domains have been employed by the designed system. Unity3D based mobile application and ReactJS administration panel are working on top of .NET Core web server framework with an RDF compliant storage system. Regarding the system implementation, a Model-View-Controller oriented architecture was adopted, along with the cooperation of various subsystems. System components have been designed and built based on a generic architecture, in order to support knowledge management, annotation and extraction, multimodal interaction, content personalization and UI adaptation. Furthermore, the proposed system facilitates the extraction of semantic knowledge according to user preferences and usage history. As a result, such information can help the system to generate more relevant and personalized narratives. A heuristic evaluation was conducted with the participation of 5 experts to study the developed system in terms of usability and user experience. The evaluation results are considered promising, confirming the usefulness of the system and encouraging further research and development work in this area.
Language English
Subject User adapted
Πολυμεσική πληροφόρηση
Issue date 2019-07-26
Collection   Faculty/Department--Faculty of Sciences and Engineering--Department of Computer Science--Post-graduate theses
  Type of Work--Post-graduate theses
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