Eirini-Eleni Tsiropoulou, Athina Thanou, S. Papavassiliou
{"title":"Modelling museum visitors' Quality of Experience","authors":"Eirini-Eleni Tsiropoulou, Athina Thanou, S. Papavassiliou","doi":"10.1109/SMAP.2016.7753388","DOIUrl":null,"url":null,"abstract":"This paper introduces a holistic approach in the formulation and optimization of museum visitors' Quality of Experience (QoE). The most influential parameters on visitors QoE have been identified and 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 have been formulated for different museum visitors' style, towards capturing visitors' perceived satisfaction in a formal manner and providing them a customized and personalized experience. Visitors' total QoE function is formulated considering the different weight of the parameters and optimized in order to determine the optimal conditions that maximize museum visitors' satisfaction. Detailed numerical results are provided towards illustrating the applicability of the proposed framework under different scenarios.","PeriodicalId":247696,"journal":{"name":"2016 11th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)","volume":"515 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 11th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMAP.2016.7753388","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 23
Abstract
This paper introduces a holistic approach in the formulation and optimization of museum visitors' Quality of Experience (QoE). The most influential parameters on visitors QoE have been identified and 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 have been formulated for different museum visitors' style, towards capturing visitors' perceived satisfaction in a formal manner and providing them a customized and personalized experience. Visitors' total QoE function is formulated considering the different weight of the parameters and optimized in order to determine the optimal conditions that maximize museum visitors' satisfaction. Detailed numerical results are provided towards illustrating the applicability of the proposed framework under different scenarios.