Generative artificial intelligence of things systems, multisensory immersive extended reality technologies, and algorithmic big data simulation and modelling tools in digital twin industrial metaverse

Equilibrium Quarterly Journal of Economics and Economic Policy, Год журнала: 2024, Номер 19(2), С. 429 - 461

Опубликована: Июнь 30, 2024

Research background: Multi-modal synthetic data fusion and analysis, simulation modelling technologies, virtual environmental location sensors shape the industrial metaverse. Visual digital twins, smart manufacturing sensory mining techniques, 3D twin predictive maintenance tools, big mobile analytics, cloud-connected spatial computing devices further immersive spaces, decentralized worlds, reality Purpose of article: We aim to show that extended cognitive systems, computer vision-based production neuro-engineering interoperability improve artificial intelligence-based metaverse hyper-immersive simulated environments. Geolocation tracking image processing computational robot motion algorithms, technologies economic business management environments Methods: Quality tools: AMSTAR, BIBOT, CASP, Catchii, R package Shiny app citationchaser, DistillerSR, JBI SUMARI, Litstream, Nested Knowledge, Rayyan, Systematic Review Accelerator. Search period: April 2024. terms: “digital metaverse” + “artificial Intelligence Things systems”, “multisensory technologies”, “algorithmic tools”. Selected sources: 114 out 336. Published research inspected: 2022–2024. PRISMA was reporting quality assessment tool. Dimensions VOSviewer were deployed as visualization tools. Findings & value added: Simulated augmented multi-sensory explainable decision support cloud-based robotic cooperation ambient intelligence deep learning-based analytics tools are instrumental in The necessitates connected enterprise reality-embedded twins.

Язык: Английский

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The Dark Side of Metaverse: A Multi-Perspective of Deviant Behaviors From PLS-SEM and fsQCA Findings

International Journal of Human-Computer Interaction, Год журнала: 2024, Номер unknown, С. 1 - 21

Опубликована: Апрель 3, 2024

The metaverse has created a huge buzz of interest because such phenomenon is emerging. behavioral aspect the includes user engagement and deviant behaviors in metaverse. Such technology brought various dangers to individuals society. There are growing cases reported sexual abuse, racism, harassment, hate speech, bullying online disinhibition make us feel more relaxed. This study responded literature call by investigating effect technical social features through mediating roles security privacy on data collected from virtual network users reached 1121 respondents. Partial Least Squares based structural equation modeling (PLS-SEM) fuzzy set Qualitative Comparative Analysis (fsQCA) were used. PLS-SEM results revealed that as user-to-user interaction, homophily, ties, identity, design immersive experience invisibility significantly affect users' behavior fsQCA provided insights into multiple causal solutions configurations. exceptional it decisive understanding symmetrical asymmetrical approach networks.

Язык: Английский

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Factors affecting metaverse adoption in education: A systematic review, adoption framework, and future research agenda

Heliyon, Год журнала: 2024, Номер 10(7), С. e28602 - e28602

Опубликована: Март 26, 2024

Язык: Английский

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Determinants of ChatGPT Use and its Impact on Learning Performance: An Integrated Model of BRT and TPB

International Journal of Human-Computer Interaction, Год журнала: 2024, Номер unknown, С. 1 - 13

Опубликована: Июнь 7, 2024

The rapid emergence of Generative Artificial Intelligence (GAI) heralds a significant shift, opening new frontiers in how education is delivered. This groundbreaking wave technological advancement poised to redefine traditional learning, promising enhance the educational landscape with unprecedented levels personalized learning and accessibility. Despite GAI's progressive infiltration into various strata, limited empirical research exists on its impact students' performance. Drawing Theory Planned Behavior (TPB) Behavioral Reasoning (BRT), this study investigates determinants affecting use ChatGPT influence data were collected from 357 university students analyzed using PLS-SEM technique. results supported role positively In addition, showed that reasons for against adoption are pivotal shaping attitudes. found be significantly affected by attitudes, subjective norms, perceived behavioral control. Besides theoretical contributions, findings offer implications stakeholders underscore necessity institutions foster conducive environment GAI adoption, addressing ethical technical concerns optimize experiences.

Язык: Английский

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Embracing the metaverse: cultivating sustainable tourism growth on a global scale

Current Issues in Tourism, Год журнала: 2024, Номер unknown, С. 1 - 20

Опубликована: Авг. 13, 2024

The tourism sector must integrate sustainability to mitigate environmental impacts, ensure destination profitability, and promote responsible travel. Emerging technologies, particularly the metaverse, have potential revolutionise environmental, economic, social sustainability. Although recent research on metaverse-based sustainable development has expanded, studies its application within remain limited. This paper addresses this gap by exploring metaverse's advance practices in tourism, aligning with goals (SDGs).By integrating three behavioural theories – Theory of Planned Behavior, Technology Acceptance Model, Self-Determination provides a comprehensive framework assess impact metaverse identify most relevant SDGs. Through systematic meta-analysis, study presents four key propositions: foundational technologies will redefine travel experiences through immersive engagements; tourists may develop more realistic expectations, altering dynamics; understanding diverse identities is crucial; introduces an innovative business model aligned creative economy. interdisciplinary approach offers insights into transformative bridging technology, psychology. underscores importance these intersections, contributing valuable evolving landscape amidst changing consumer expectations imperatives.

Язык: Английский

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Clustering potential metaverse users with the use of a value-based framework: Exploiting perceptions and attitudes on the use and adoption of metaverse for bold propositions

Telematics and Informatics, Год журнала: 2023, Номер 87, С. 102074 - 102074

Опубликована: Ноя. 18, 2023

Metaverse is a new emerging platform that enables users to interact with each other and engage in many activities inside collective virtual shared space. rapidly evolving, it essential understand the perception attitude of its potential users. Therefore, this research aims study metaverse obtain their opinions on some key variables metaverse. These include core concept, readiness, ease use, intention belong Metaverse, adopt, value realization. We designed an online questionnaire measure these variables. Then, deep analysis collected data was conducted using various exploratory descriptive statistics all participants. Subsequently, we performed further correlation participants from Saudi Arabia, which resulted clustering into three groups. The result work can help understanding current metaverse, especially Arabia. This will consequently developing space, enhancing features, providing best experiences. Our contributes Theory by justifying bold value-based framework for Adoption. also introduces clusters, Skeptical, Unaware, Optimists, platforms, clear description group.

Язык: Английский

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Evaluating the barriers affecting cybersecurity behavior in the Metaverse using PLS-SEM and fuzzy sets (fsQCA)

Computers in Human Behavior, Год журнала: 2024, Номер 159, С. 108315 - 108315

Опубликована: Май 29, 2024

Язык: Английский

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Exploring new realms or losing touch? Assessing public beliefs about tourism in the metaverse–a big-data approach

International Journal of Contemporary Hospitality Management, Год журнала: 2024, Номер unknown

Опубликована: Июль 13, 2024

Purpose The Metaverse is rapidly reshaping the understanding of tourism, yet public perception this new domain remains largely uncharted empirically. This paper aims to build on technology acceptance model (TAM) and diffusion innovations theory (DIT) fill gap, offering crucial insights that could inform scholars practitioners in both tourism sectors. Design/methodology/approach Using a big-data approach, authors applied machine learning scrape comments made by social media users recent popular posts or videos related from three prominent platforms. cleaning process narrowed down 15,461 2,650, which were then analysed using thematic, emotion sentiment analysis techniques. Findings thematic revealed virtual evokes complex range beliefs. While many express awe excitement toward its immersive capabilities, others remain sceptical about authenticity compared physical travel. Additional themes show people draw comparisons real-world discuss technology’s role note educational value novelty. However, some raise concerns potential societal harms, exploitation mental health impacts. Sentiment found over half positive, though negative. Emotion showed contentment, happiness as most frequent, sadness, worry loneliness also featured. Overall, perceptions encompass enthusiasm substantial ambivalence. Originality/value To best authors’ knowledge, study one first comprehensively analyse discussions tourism. It takes TAM Rogers’s DIT step further provides fresh into how these theories can be employed emerging field conceptual multidimensional factors shaping beliefs thus informing scholarly research interaction regarding In addition, results help providers, platforms marketers address salient sentiments/attitudes developing marketing offerings, experiences communications. Over time, methodology used track evolving

Язык: Английский

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Metaverse Servicescape: Emotional Response to Virtual Retail Design

International Journal of Human-Computer Interaction, Год журнала: 2024, Номер unknown, С. 1 - 14

Опубликована: Март 18, 2024

The highly anticipated global Metaverse market presents a burgeoning arena, particularly in shopping and retail. While physical retail environments have long emphasized the details of exterior interior servicescape design, shift to online raises questions about applying these traditional principles setting. This research adopts conjoint analysis delve into potential localized design by merging consumer emotions, segmentation, innovative technologies. Using Pleasure, Arousal, Dominance (PAD) model, we examine attributes, based on real-world counterparts, application segmenting store preferences. Like retailing cases, music, crowding, noise are most influential attributes affecting emotion. However, three different clusters emerged according their emotional responses. Our experiment reveals that may evoke responses akin counterparts while offering valuable opportunity for customization better satisfies segments. Insights offered retailers navigating dynamic landscape, where personalization localization now more affordable multiple designs can coexist digital form—reaching larger markets.

Язык: Английский

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I am too young for this! A moderated-mediation model of metaverse commerce resistance

Journal of Retailing and Consumer Services, Год журнала: 2025, Номер 84, С. 104224 - 104224

Опубликована: Янв. 7, 2025

Язык: Английский

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