{"title":"Aging in the Digital Age: Public Beliefs About the Potential of Virtual Reality (VR) for the Aging Population","authors":"Ali B. Mahmoud","doi":"10.1177/02761467241253286","DOIUrl":null,"url":null,"abstract":"This paper responds to the scholarly call for investigating the role of technology consumption in promoting healthy aging—it aims to identify the public's beliefs about the potential of virtual reality technology (VR) for the well-being of older adults. The study utilized a big-data methodology and employed machine learning to scrape comments made by social media users on the most popular YouTube videos that discuss older people's use of VR technology. After the data cleaning process, the study was left with 1,917 comments out of 3,952 that were then subject to analysis through thematic, emotion, and sentiment analyses. The findings revealed three themes of the public beliefs: 1) empowerment through technology, generational adaptability, and learning; 2) social and ethical implications of VR for healthy aging; and 3) cognitive and physical engagement. The emotion and sentiment analyses indicated that the general public has a predominantly positive perception of the application of virtual reality technology for older people. In summary, the synthesis of the results from the three analyses suggested that VR has the potential to empower seniors and promote mental and physical activity while also highlighting the importance of maintaining genuine connections and ethical standards.","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":"66 9","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1177/02761467241253286","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 1
Abstract
This paper responds to the scholarly call for investigating the role of technology consumption in promoting healthy aging—it aims to identify the public's beliefs about the potential of virtual reality technology (VR) for the well-being of older adults. The study utilized a big-data methodology and employed machine learning to scrape comments made by social media users on the most popular YouTube videos that discuss older people's use of VR technology. After the data cleaning process, the study was left with 1,917 comments out of 3,952 that were then subject to analysis through thematic, emotion, and sentiment analyses. The findings revealed three themes of the public beliefs: 1) empowerment through technology, generational adaptability, and learning; 2) social and ethical implications of VR for healthy aging; and 3) cognitive and physical engagement. The emotion and sentiment analyses indicated that the general public has a predominantly positive perception of the application of virtual reality technology for older people. In summary, the synthesis of the results from the three analyses suggested that VR has the potential to empower seniors and promote mental and physical activity while also highlighting the importance of maintaining genuine connections and ethical standards.
期刊介绍:
ACS Applied Electronic Materials is an interdisciplinary journal publishing original research covering all aspects of electronic materials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials science, engineering, optics, physics, and chemistry into important applications of electronic materials. Sample research topics that span the journal's scope are inorganic, organic, ionic and polymeric materials with properties that include conducting, semiconducting, superconducting, insulating, dielectric, magnetic, optoelectronic, piezoelectric, ferroelectric and thermoelectric.
Indexed/Abstracted:
Web of Science SCIE
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CAS
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