Quality of Experience in Cyber-Physical Social Systems: A Cultural Heritage Space Use Case

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dc.contributor.author Thanou, Athina en
dc.contributor.author Θάνου, Αθηνά el
dc.date.accessioned 2020-03-12T10:52:42Z
dc.date.available 2020-03-12T10:52:42Z
dc.date.issued 2020-03-12 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/49944
dc.identifier.uri http://dx.doi.org/10.26240/heal.ntua.17642
dc.description.abstract In this PhD thesis, the focus is placed on the optimization of user Quality of Experience (QoE) in Cyber Physical Social Systems and speci cally in cultural heritage spaces. In order to achieve maximization of visitor perceived satisfaction, the challenges associated with visitor optimal decision making regarding touring choices and strategies in a museum or a cultural heritage space are examined and the problem of museum congestion is αddressed. Cultural heritage spaces, and museums in particular, constitute a special type of socio-physical system because, in contrast to other social systems like schools or churches, user experience is primarily controlled by the visitors themselves. Such a system also embodies both human behaviors and physical and technical constraints, a fact that makes adopting a socio-technical perspective in order to improve the visiting experience, essential. Within the above setting, quantitative models and functions are initially formulated to express the visitor experience that is gained throughout a touring process. The functions are based on several socio-physical and behavioral factors. Using this QoE modeling approach, the problem of how to optimise visitor route choices is addressed. A social recommendation and personalization framework is also presented that exploits common visitor characteristics and recommends a set of exhibits to be visited. The creation of self-organizing museum visitor communities are proposed as a means to enhance the visiting experience. They exploit visitor personal characteristics and social interactions and are based on a participatory action research (PAR) process. Recommendation Selection and Visiting Time Management (RSVTM) are combined and formulated into a two-stage distributed algorithm, based on game theory and reinforcement learning. In addition, this PhD thesis examines the problem of congestion management in cultural heritage spaces from a more pragmatic perspective, considering visitor behavioral characteristics and risk preferences. The motivation behind this approach arose from the observation that, in cultural heritage spaces, people interact with each other and consequently the decisions and behavior of one visitor influence and are influenced by others. It is, therefore, important to understand the unknown behavior tendencies of visitors especially when making decisions in order to improve their visiting experience and reduce museum congestion. The proposed mechanisms are founded on and powered by the principles of Prospect Theory and the Tragedy of the Commons. Particular attention is paid to modeling and capturing visitor behaviors and decision making under the potential risks and uncertainties which are typically encountered by visitors during their visit. According to their relative popularity and attractiveness, exhibits at a cultural heritage site are classi ed into two main categories: safe exhibits and Common Pool of Resources (CPR) exhibits. CPR exhibits are considered non-excludable and rivalrous in nature, meaning that they may experience "failure" due to over-exploitation. As a result, a visitor's decision to invest time at a CPR exhibit is regarded as risky because his/her perceived satisfaction greatly depends on the cumulative time spent at it by all visitors. A non-cooperative game among the visitors is formulated and solved in a distributed manner in order to determine the optimal investment time at exhibits for each visitor, while maximizing the visitor's perceived satisfaction. Detailed numerical results are presented, which provide useful insights into visitor behaviors and how these influence visitor perceived satisfaction, as well as museum congestion. Finally, pricing is introduced as an effective mechanism to address the problem of museum congestion. Motivated by several studies that position pricing as a mechanism to prevent overcrowding in museums, this thesis analyzes and studies the impact of different pricing policies on visitor decisions when they act as prospect-theoretic decision-makers. The theory of S-modular games is adopted to determine the time invested by each visitor at exhibits while maximizing satisfaction gained. en
dc.rights Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/gr/ *
dc.subject Quality of Experience (QoE) en
dc.subject Prospect theory en
dc.subject Game theory en
dc.subject User behavior modeling en
dc.subject Common pool of resources en
dc.subject Πολιτισμική κληρονομιά el
dc.subject Βελτιστοποίηση εμπειρίας χρήστη el
dc.subject Διαχείριση συμφόρησης μουσείου el
dc.subject Κοινωνικά συστήματα el
dc.subject Καθορισμός χρόνου επίσκεψης el
dc.title Quality of Experience in Cyber-Physical Social Systems: A Cultural Heritage Space Use Case en
dc.contributor.department Communication, Electronic and Information Engineering el
heal.type doctoralThesis
heal.classification Computer Engineering en
heal.language en
heal.access free
heal.recordProvider ntua el
heal.publicationDate 2019-11-07
heal.advisorName Papavassiliou, Symeon en
heal.committeeMemberName Παπαβασιλείου, Συμεών el
heal.committeeMemberName Ρουσσάκη, Ιωάννα el
heal.committeeMemberName Ματσόπουλος, Γιώργος el
heal.committeeMemberName Καρυδάκης, Γιώργος el
heal.committeeMemberName Τσιροπούλου, Ειρήνη Ελένη el
heal.committeeMemberName Γουάλλες, Μανώλης el
heal.committeeMemberName Βαρβαρίγου, Θεοδώρα el
heal.academicPublisher Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών el
heal.academicPublisherID ntua
heal.numberOfPages 169
heal.fullTextAvailability false

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Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα Except where otherwise noted, this item's license is described as Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα