Quality of Experience-based museum touring: a human in the loop approach

Abstract

This paper introduces a human in the loop approach toward proposing a physical, personal and interest-aware museum touring in order to maximize visitor’s perceived Quality of Experience (QoE). The most influential parameters on visitors QoE are identified and more importantly quantified via performing an empirical study based on a questionnaire answered by experts in the field of arts and museums. Individual QoE functions with respect to each of the identified parameters are formulated for different museum visitors’ styles, toward capturing visitors’ perceived utility in a formal manner and providing them a customized and personalized experience. A social recommendation and personalization approach is designed toward creating visitors’ profiles, exploiting common characteristics and interests among them and assisting in recommending a set of exhibits to be visited, through a ranking system according to visitor’s interests. A Museum Visitor QoE Routing problem is formulated as an optimization problem considering the various QoE-related characteristics. The latter is solved via a graph-based approach determining both an optimal and a heuristic but less complex solution. Detailed numerical results are provided toward illustrating the applicability of the proposed framework under different scenarios and topologies.