Analysing the public's beliefs, emotions and sentiments towards Metaverse workplace: A big-data qualitative inquiry

IF 2.1 4区 心理学 Q2 PSYCHOLOGY, EXPERIMENTAL Acta Psychologica Pub Date : 2024-09-19 DOI:10.1016/j.actpsy.2024.104498
Ali B. Mahmoud
{"title":"Analysing the public's beliefs, emotions and sentiments towards Metaverse workplace: A big-data qualitative inquiry","authors":"Ali B. Mahmoud","doi":"10.1016/j.actpsy.2024.104498","DOIUrl":null,"url":null,"abstract":"<div><p>The Metaverse is gaining attention as a potential future workplace, and advancements in VR/AR technologies are set to revolutionise how we work and collaborate. Extensive research using big data is still needed to fully comprehend the public's perception of this emerging field. Grounded in the Technology Acceptance Model (TAM), the Diffusion of Innovations Theory (DIT), and Social Presence Theory (SPT), this study seeks to fill this knowledge gap. Using a methodology that involved machine learning and qualitative analysis of big data, the research gathered comments from social media users on widely viewed YouTube videos discussing the Metaverse workplace. The initial dataset, which contained 6982 comments, underwent thorough cleaning processes, resulting in the analysis of 2804 comments through thematic, emotion, and sentiment analyses. The process of the thematic analysis revealed that out of the total comments, 472 were unclassified, while the remaining 2332 helped structure the public's beliefs about the Metaverse workplace into four overarching themes: 1- benefits of flexibility and accessibility (37 %), highlighting VR's potential to transform workspaces, especially for creative fields and efficient space use; 2- Health concerns (26 %), including eye strain and physical discomfort from prolonged headset use; 3- data privacy and corporate control fears (20 %), reflecting worries over pervasive data collection and potential misuse of power; 4- scepticism over readiness and practicality (17 %), noting visual clarity challenges and ergonomic issues. The overall vibes about working in the Metaverse are mixed. While more than half the sentiments were positive, expressing contentment, curiosity and enthusiasm, there were also concerns about health effects, data privacy, and integration issues. The public recognises Metaverse's potential for remote work, desiring improvements in areas like visual clarity, ergonomics and productivity support before widespread adoption. This study is a pioneering effort in the field, providing a first-of-its-kind structure of the public's beliefs about the Metaverse workplace, drawing upon naturally occurring data. The findings not only contribute to the academic understanding of the Metaverse workplace but also have significant implications for society and practitioners for optimising the positive aspects to enhance overall acceptance in this relatively understudied field.</p></div>","PeriodicalId":7141,"journal":{"name":"Acta Psychologica","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0001691824003767/pdfft?md5=8f1b79e7ba9bebe22e30861c01496bf9&pid=1-s2.0-S0001691824003767-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Psychologica","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0001691824003767","RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PSYCHOLOGY, EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0

Abstract

The Metaverse is gaining attention as a potential future workplace, and advancements in VR/AR technologies are set to revolutionise how we work and collaborate. Extensive research using big data is still needed to fully comprehend the public's perception of this emerging field. Grounded in the Technology Acceptance Model (TAM), the Diffusion of Innovations Theory (DIT), and Social Presence Theory (SPT), this study seeks to fill this knowledge gap. Using a methodology that involved machine learning and qualitative analysis of big data, the research gathered comments from social media users on widely viewed YouTube videos discussing the Metaverse workplace. The initial dataset, which contained 6982 comments, underwent thorough cleaning processes, resulting in the analysis of 2804 comments through thematic, emotion, and sentiment analyses. The process of the thematic analysis revealed that out of the total comments, 472 were unclassified, while the remaining 2332 helped structure the public's beliefs about the Metaverse workplace into four overarching themes: 1- benefits of flexibility and accessibility (37 %), highlighting VR's potential to transform workspaces, especially for creative fields and efficient space use; 2- Health concerns (26 %), including eye strain and physical discomfort from prolonged headset use; 3- data privacy and corporate control fears (20 %), reflecting worries over pervasive data collection and potential misuse of power; 4- scepticism over readiness and practicality (17 %), noting visual clarity challenges and ergonomic issues. The overall vibes about working in the Metaverse are mixed. While more than half the sentiments were positive, expressing contentment, curiosity and enthusiasm, there were also concerns about health effects, data privacy, and integration issues. The public recognises Metaverse's potential for remote work, desiring improvements in areas like visual clarity, ergonomics and productivity support before widespread adoption. This study is a pioneering effort in the field, providing a first-of-its-kind structure of the public's beliefs about the Metaverse workplace, drawing upon naturally occurring data. The findings not only contribute to the academic understanding of the Metaverse workplace but also have significant implications for society and practitioners for optimising the positive aspects to enhance overall acceptance in this relatively understudied field.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
分析公众对 Metaverse 工作场所的信念、情感和情绪:大数据定性调查
作为未来潜在的工作场所,Metaverse 正在受到越来越多的关注,VR/AR 技术的进步将彻底改变我们的工作和协作方式。要全面了解公众对这一新兴领域的看法,还需要利用大数据进行广泛研究。本研究以技术接受模型(TAM)、创新扩散理论(DIT)和社会存在理论(SPT)为基础,力求填补这一知识空白。本研究采用机器学习和大数据定性分析的方法,收集了社交媒体用户对广为观看的 YouTube 视频中讨论 Metaverse 工作场所的评论。初始数据集包含 6982 条评论,经过彻底清理后,通过主题、情感和情绪分析,分析出 2804 条评论。主题分析过程显示,在所有评论中,有 472 条评论未分类,而其余 2332 条评论则有助于将公众对 Metaverse 工作场所的看法归纳为四大主题:1- 灵活性和可访问性的益处(37%),强调了 VR 改变工作空间的潜力,尤其是在创意领域和高效空间利用方面;2- 健康问题(26%),包括长时间使用头显造成的眼睛疲劳和身体不适;3- 数据隐私和企业控制担忧(20%),反映了对无处不在的数据收集和潜在权力滥用的担忧;4- 对就绪性和实用性持怀疑态度(17%),指出了视觉清晰度挑战和人体工程学问题。对在 Metaverse 中工作的总体看法不一。虽然半数以上的观点是积极的,表达了满足感、好奇心和热情,但也有对健康影响、数据隐私和集成问题的担忧。公众认可 Metaverse 在远程工作方面的潜力,但希望在广泛采用之前,在视觉清晰度、人体工程学和生产力支持等方面有所改进。这项研究是该领域的一项开创性工作,它利用自然发生的数据,首次构建了公众对 Metaverse 工作场所的看法。研究结果不仅有助于学术界对 Metaverse 工作场所的理解,而且对社会和从业人员优化积极方面以提高这一研究相对不足的领域的整体接受度具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Acta Psychologica
Acta Psychologica PSYCHOLOGY, EXPERIMENTAL-
CiteScore
3.00
自引率
5.60%
发文量
274
审稿时长
36 weeks
期刊介绍: Acta Psychologica publishes original articles and extended reviews on selected books in any area of experimental psychology. The focus of the Journal is on empirical studies and evaluative review articles that increase the theoretical understanding of human capabilities.
期刊最新文献
Exploring gender differences in the relations between passion, grit and flow. Does Despotic Leadership Impact Employees' Career success: The Parallel Mediation Framework. Examining problematic internet use, mattering, and distress in interpersonally vulnerable senior high school students: A longitudinal study during summer holidays and academic terms. Feasibility and effects of mindfulness-based stress reduction (MBSR) for improving resilience, posttraumatic stress disorder symptoms and posttraumatic growth among military medical college students. Leveraging digital skills to reduce cognitive strain: Implications for academic self-efficacy in medical education.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1