{"title":"管理黑暗沉浸式戏剧体验的动机和满意度","authors":"Miguel Belo, Nuno Gustavo","doi":"10.54055/ejtr.v37i.3417","DOIUrl":null,"url":null,"abstract":"Dark Immersive Theatre Experiences (DITE) have been growing in popularity in recent years as an innovative product that combines darkness with immersive theatre, attracting individuals all over the world who seek new and enticing experiences. This study aims to develop predictive models of participant satisfaction in DITE based on their underlying motivations. Based on Principal Component Analysis, we were able to identify five motivational components: \"dark intensity\", \"survival\", \"immersion”, \"theatre\", and \"unwinding\", which explained 66.7% of the motivation’s variation. Furthermore, we performed multiple linear regression models to predict participants’ overall satisfaction in DITE. The final predictive models allowed to explain 66.0% of satisfaction’s variance, composed by six independent variables: \"novel experience\", \"captivating plot\", \"push limits\", \"to have fun\", \"coparticipation\", and \"hyper-realistic experience\". Our work contributes for optimizing DITE by presenting specific factors that allow to enhance satisfaction. Our data provide DITE managers useful information to improve and optimize experiences in such a way that enhances participant’s satisfaction and further increase their interest to such experiences.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":"5 4","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Managing motivations and satisfaction in Dark Immersive Theatre Experiences\",\"authors\":\"Miguel Belo, Nuno Gustavo\",\"doi\":\"10.54055/ejtr.v37i.3417\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Dark Immersive Theatre Experiences (DITE) have been growing in popularity in recent years as an innovative product that combines darkness with immersive theatre, attracting individuals all over the world who seek new and enticing experiences. This study aims to develop predictive models of participant satisfaction in DITE based on their underlying motivations. Based on Principal Component Analysis, we were able to identify five motivational components: \\\"dark intensity\\\", \\\"survival\\\", \\\"immersion”, \\\"theatre\\\", and \\\"unwinding\\\", which explained 66.7% of the motivation’s variation. Furthermore, we performed multiple linear regression models to predict participants’ overall satisfaction in DITE. The final predictive models allowed to explain 66.0% of satisfaction’s variance, composed by six independent variables: \\\"novel experience\\\", \\\"captivating plot\\\", \\\"push limits\\\", \\\"to have fun\\\", \\\"coparticipation\\\", and \\\"hyper-realistic experience\\\". Our work contributes for optimizing DITE by presenting specific factors that allow to enhance satisfaction. Our data provide DITE managers useful information to improve and optimize experiences in such a way that enhances participant’s satisfaction and further increase their interest to such experiences.\",\"PeriodicalId\":2,\"journal\":{\"name\":\"ACS Applied Bio Materials\",\"volume\":\"5 4\",\"pages\":\"\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-04-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Bio Materials\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.54055/ejtr.v37i.3417\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54055/ejtr.v37i.3417","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
Managing motivations and satisfaction in Dark Immersive Theatre Experiences
Dark Immersive Theatre Experiences (DITE) have been growing in popularity in recent years as an innovative product that combines darkness with immersive theatre, attracting individuals all over the world who seek new and enticing experiences. This study aims to develop predictive models of participant satisfaction in DITE based on their underlying motivations. Based on Principal Component Analysis, we were able to identify five motivational components: "dark intensity", "survival", "immersion”, "theatre", and "unwinding", which explained 66.7% of the motivation’s variation. Furthermore, we performed multiple linear regression models to predict participants’ overall satisfaction in DITE. The final predictive models allowed to explain 66.0% of satisfaction’s variance, composed by six independent variables: "novel experience", "captivating plot", "push limits", "to have fun", "coparticipation", and "hyper-realistic experience". Our work contributes for optimizing DITE by presenting specific factors that allow to enhance satisfaction. Our data provide DITE managers useful information to improve and optimize experiences in such a way that enhances participant’s satisfaction and further increase their interest to such experiences.
期刊介绍:
ACS Applied Bio Materials is an interdisciplinary journal publishing original research covering all aspects of biomaterials and biointerfaces including and beyond the traditional biosensing, biomedical and therapeutic applications.
The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important bio applications. The journal is specifically interested in work that addresses the relationship between structure and function and assesses the stability and degradation of materials under relevant environmental and biological conditions.