José L. Gómez-Sirvent, Desirée Fernández-Sotos, Francisc López de la Rosa, A. Fernández-Caballero
{"title":"Building information modeling and affective occupancy evaluation: A scoping review","authors":"José L. Gómez-Sirvent, Desirée Fernández-Sotos, Francisc López de la Rosa, A. Fernández-Caballero","doi":"10.3233/ais-230046","DOIUrl":null,"url":null,"abstract":"Building Information Modeling (BIM) is a powerful process for creating and managing data throughout the life cycle of a building. Traditionally, measuring the well-being of building occupants has been addressed solely through objective physical variables such as temperature or relative air humidity. However, recent studies indicate that the built environment influences subjective aspects of human well-being. This article presents a scoping review to find information related to the use of BIM in the assessment of the mental and emotional state of inhabitants. A scoping review has been undertaken following the PRISMA-ScR guidelines by searching in Scopus, ACM, IEEE Xplore and PsycINFO databases. Fourteen articles meeting the inclusion criteria were found after the screening process, all of them published in the last decade, twelve in the last five years. Two ways of using BIM have been identified in relation to the subject matter of this review: (i) for visualization and monitoring of occupant well-being and (ii) for showing building design alternatives to future occupants. The included papers show that BIM has potential for assessing the mental and emotional state of building occupants. However, the results of these studies are still limited and much research in this area remains pending.","PeriodicalId":49316,"journal":{"name":"Journal of Ambient Intelligence and Smart Environments","volume":" ","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Ambient Intelligence and Smart Environments","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.3233/ais-230046","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Building Information Modeling (BIM) is a powerful process for creating and managing data throughout the life cycle of a building. Traditionally, measuring the well-being of building occupants has been addressed solely through objective physical variables such as temperature or relative air humidity. However, recent studies indicate that the built environment influences subjective aspects of human well-being. This article presents a scoping review to find information related to the use of BIM in the assessment of the mental and emotional state of inhabitants. A scoping review has been undertaken following the PRISMA-ScR guidelines by searching in Scopus, ACM, IEEE Xplore and PsycINFO databases. Fourteen articles meeting the inclusion criteria were found after the screening process, all of them published in the last decade, twelve in the last five years. Two ways of using BIM have been identified in relation to the subject matter of this review: (i) for visualization and monitoring of occupant well-being and (ii) for showing building design alternatives to future occupants. The included papers show that BIM has potential for assessing the mental and emotional state of building occupants. However, the results of these studies are still limited and much research in this area remains pending.
期刊介绍:
The Journal of Ambient Intelligence and Smart Environments (JAISE) serves as a forum to discuss the latest developments on Ambient Intelligence (AmI) and Smart Environments (SmE). Given the multi-disciplinary nature of the areas involved, the journal aims to promote participation from several different communities covering topics ranging from enabling technologies such as multi-modal sensing and vision processing, to algorithmic aspects in interpretive and reasoning domains, to application-oriented efforts in human-centered services, as well as contributions from the fields of robotics, networking, HCI, mobile, collaborative and pervasive computing. This diversity stems from the fact that smart environments can be defined with a variety of different characteristics based on the applications they serve, their interaction models with humans, the practical system design aspects, as well as the multi-faceted conceptual and algorithmic considerations that would enable them to operate seamlessly and unobtrusively. The Journal of Ambient Intelligence and Smart Environments will focus on both the technical and application aspects of these.