Metaverse Marketing Strategies: Enhancing Customer Experience and Analysing Consumer Behaviour Through Leading-edge Metaverse Technologies, Platforms, and Models

SSRN Electronic Journal, Год журнала: 2023, Номер unknown

Опубликована: Янв. 1, 2023

Metaverse technologies have emerged as groundbreaking tools, altering how businesses interact with consumers and analyse their behaviours. This research delves into inventive marketing strategies that emphasize enriching customer experiences understanding consumer behaviour through cutting-edge technologies, platforms, models. The provides a vibrant, immersive setting where can craft interactive, realistic encounters for clientele. Utilizing virtual reality (VR) augmented (AR) companies establish storefronts, enabling customers to explore products services in visually captivating ways. Interactive 3D models, simulations, gamified enhance engagement, facilitating personalized interactions bridge the gap between physical digital realms. Leveraging platforms such Decentraland, Roblox, VRChat, create branded spaces, host events, foster meaningful connections audience. present unprecedented opportunities real-time analysis of behaviour. Within advanced AI algorithms, machine learning, data analytics empower monitor interactions, preferences, purchasing patterns. data-centric approach marketers valuable insights behavior, them make informed decisions, optimize product offerings, tailor campaigns. Virtual eye-tracking, gesture recognition, emotional tools further offering comprehensive user engagement sentiment. Beyond conventional social media e-commerce are increasingly embracing innovative NFT (Non-Fungible Token) marketplaces, decentralized autonomous organizations (DAOs), blockchain-based economies reshaping marketplace. Smart contracts blockchain technology ensure transparency, security, authenticity, fostering trust among consumers. As these they new avenues monetization, collaborations, community building. By leveraging experiences, analytics, satisfaction, gain actionable insights, maintain competitive edge landscape. Embracing represents more than just passing trend; it signifies transformative journey, unparalleled thrive age.

Язык: Английский

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ChatGPT is not capable of serving as an author: ethical concerns and challenges of large language models in education

International Research Journal of Modernization in Engineering Technology and Science, Год журнала: 2023, Номер unknown

Опубликована: Окт. 12, 2023

This research delves into the dynamic role of ChatGPT and similar large language models within realm education.It sheds light on their set limitations, ethical concerns, challenges that must be addressed thoughtfully, offering a comprehensive exploration implications in various educational contexts evolving landscape teaching, research, scholarly communication.The paper initiates its by investigating how can applied scientific writing publishing.Furthermore, critically assesses constraints associated with utilizing acknowledges model's limitations generating authoritative content, comprehending complex subject matter, ensuring information accuracy.These thoroughly examined, present substantial obstacles to integration practices.The also addresses dilemmas potential pitfalls arise from heavy reliance generative AI issues bias, accountability, dissemination misinformation.These considerations emphasize importance maintaining human agency oversight settings, promoting responsible use AI.The further explores impact academic both terms augmenting productivity risks rigor authenticity work.Strategies tools for detecting mitigating instances misconduct involving AI-generated content are examined detail.Additionally, investigates enhancing critical thinking skills among students, educators, researchers.It innovative pedagogical methods leverage foster improved thinking.Moreover, considers policy, encompassing such as privacy intellectual property rights, necessity regulations education.These insights invaluable researchers, policymakers, stakeholders seeking harness benefits while navigating education.

Язык: Английский

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Sustainable tourism development using leading-edge Artificial Intelligence (AI), Blockchain, Internet of Things (IoT), Augmented Reality (AR) and Virtual Reality (VR) technologies

SSRN Electronic Journal, Год журнала: 2023, Номер unknown

Опубликована: Янв. 1, 2023

This research paper delves into the potential for transformation by incorporating cutting-edge technologies such as Artificial Intelligence (AI), Blockchain, Internet of Things (IoT), Augmented Reality (AR), and Virtual (VR) to foster sustainable development tourism. The contemporary tourism industry confronts unprecedented challenges, including environmental degradation, cultural disruption, socio-economic imbalances. investigation explores innovative application advanced a comprehensive solution tackle these challenges propel sector toward more future. emerges pivotal facilitator in enhancing operations decision-making processes. Leveraging predictive analytics, machine learning, natural language processing, AI contributes optimized resource allocation, personalized visitor experiences, formulation data-driven sustainability strategies. Blockchain technology, recognized its decentralized transparent nature, is utilized establish secure traceable supply chains, ensuring equitable economic distribution minimizing impact travel. (IoT) assumes central role creating intelligent interconnected ecosystems. IoT devices enable real-time monitoring conditions, empowering destination management organizations implement adaptive measures conservation. Furthermore, enhance safety satisfaction through context-aware services. (AR) offer immersive experiences that redefine how tourists interact with destinations. AR enriches historical context attractions, fostering deeper understanding appreciation local heritage. Meanwhile, VR enables virtual reducing need physical travel consequently mitigating carbon footprints. findings underscore technology-driven approach practices, long-term environmental, social, sustainability.

Язык: Английский

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Metaverse for Enhancing Customer Loyalty: Effective Strategies to Improve Customer Relationship, Service, Engagement, Satisfaction, and Experience

SSRN Electronic Journal, Год журнала: 2023, Номер unknown

Опубликована: Янв. 1, 2023

In the dynamic realm of digital technology, Metaverse has emerged as a revolutionary platform with vast potential for businesses aiming to strengthen customer loyalty. This study investigates effective techniques within enhance relationships, service, engagement, satisfaction, and overall experience. As increasingly migrate virtual spaces, understanding nuances interaction becomes crucial. The research employs comprehensive approach, blending qualitative quantitative methods explore diverse aspects loyalty in Metaverse. Qualitative methods, such in-depth interviews participant observations environments, offer profound insights into behavior expectations. Quantitative surveys provide structured data, enabling statistical analysis metrics. findings underscore significant impact utilization on Tailored avatars, immersive interactive experiences foster sense belonging personalization, nurturing deeper emotional bond between customers brands. Real-time support personalized services elevate satisfaction trust, leading heightened levels Additionally, outlines key strategies implement Metaverse, including gamification, social interactions, events, augmented reality integrations. Gamified engagement retention, while interactions cultivate community, encouraging advocate brand. Virtual events applications innovative platforms showcase products, educate customers, facilitate meaningful thereby bolstering provides valuable transformative shaping future customer-business relationships. By embracing identified strategies, can not only adapt evolving landscape but also enduring loyalty, ensuring sustainable growth success market.

Язык: Английский

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LLM-Assisted Crisis Management: Building Advanced LLM Platforms for Effective Emergency Response and Public Collaboration

Опубликована: Июнь 25, 2024

Emergencies and critical incidents often unfold rapidly, necessitating a swift effective response.In this research, we introduce novel approach to identify classify emergency situations from social media posts direct messages using an open source Large Language Model, LLAMA2.The goal is harness the power of natural language processing machine learning assist public safety telecommunicators huge crowds during countrywide emergencies.Our research focuses on developing model that can understand users describe their situation in 911 call, enabling LLAMA2 analyze content offer relevant instructions telecommunicator, while also creating workflows notify government agencies with caller's information when necessary.Another benefit provides its ability people significant incident system overwhelmed, by assisting simple informing authorities location information.

Язык: Английский

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Mental Health Applications of Generative AI and Large Language Modeling in the United States

International Journal of Environmental Research and Public Health, Год журнала: 2024, Номер 21(7), С. 910 - 910

Опубликована: Июль 12, 2024

(1) Background: Artificial intelligence (AI) has flourished in recent years. More specifically, generative AI had broad applications many disciplines. While mental illness is on the rise, proven valuable aiding diagnosis and treatment of disorders. However, there little to no research about precisely how much interest technology. (2) Methods: We performed a Google Trends search for “AI health” compared relative volume (RSV) indices “AI”, Depression”, anxiety”. This time series study employed Box–Jenkins modeling forecast long-term through end 2024. (3) Results: Within United States, steadily increased throughout 2023, with some anomalies due media reporting. Through predictive models, we found that this trend predicted increase 114% year 2024, public being rise. (4) Conclusions: According our study, awareness drastically especially health. demonstrates increasing health AI, making advocacy education technology paramount importance.

Язык: Английский

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Transforming the Civil Engineering Sector with Generative Artificial Intelligence, such as ChatGPT or Bard

SSRN Electronic Journal, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

The infusion of generative artificial intelligence (AI) stands out as a transformative influence in civil engineering, reshaping conventional methodologies and elevating the effectiveness precision across various domains. This study delves into nuanced impact ChatGPT, potent language model, key realms within engineering: Structural Engineering, Geotechnical Transportation Environmental Water Resources Urban Regional Planning, Materials Coastal Earthquake Engineering. Within ChatGPT assumes central role formulating refining structural designs. By deciphering intricate engineering concepts proposing inventive solutions, assists engineers crafting structures that not only exhibit resilience but also optimize resource utilization. Its proficiency scrutinizing extensive datasets delivering insights positions it an invaluable tool for augmenting integrity safety. Engineering benefits from ChatGPT's aptitude processing interpreting geological geophysical data. Through generation reports analyses, aids recognizing potential risks suggesting mitigation strategies, thereby expediting decision-making geotechnical projects. In realm application involves streamlining traffic flow, devising intelligent transportation systems, overall infrastructure planning. natural capabilities facilitate seamless communication collaboration among diverse stakeholders engaged contributes to evaluation environmental studies, assisting planners making well-informed decisions prioritizing sustainability. Moreover, its capability simulate scenarios formulation effective pollution control measures. leverages data interpretation modeling, enabling precise predictions water flow patterns aiding design efficient management systems. extends contributions where urban development optimizing land use, addressing challenges associated with population growth urbanization. prowess analysis materials enhanced properties, resilient coastal structures, creation earthquake-resistant infrastructure. research paper scrutinizes how integration these disciplines heightens efficiency practices unlocks new avenues innovation, sustainability, face evolving challenges.

Язык: Английский

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Zero-shot learning to extract assessment criteria and medical services from the preventive healthcare guidelines using large language models

Journal of the American Medical Informatics Association, Год журнала: 2024, Номер 31(8), С. 1743 - 1753

Опубликована: Июнь 20, 2024

Abstract Objectives The integration of these preventive guidelines with Electronic Health Records (EHRs) systems, coupled the generation personalized care recommendations, holds significant potential for improving healthcare outcomes. Our study investigates feasibility using Large Language Models (LLMs) to automate assessment criteria and risk factors from future analysis against medical records in EHR. Materials Methods We annotated criteria, factors, services described adult published by United States Preventive Services Taskforce evaluated 3 state-of-the-art LLMs on extracting information categories automatically. Results included 24 this study. can extraction all 9 guidelines. All perform well regarding demographic or factors. Some better social determinants health, family history, counseling than others. Discussion While demonstrate capability handle lengthy guidelines, several challenges persist, including constraints related maximum length input tokens tendency generate content rather adhering strictly original input. Moreover, utilization real-world clinical settings necessitates careful ethical consideration. It is imperative that professionals meticulously validate extracted mitigate biases, ensure completeness, maintain accuracy. Conclusion developed a data structure store make it publicly available. Employing extract paves way into

Язык: Английский

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Generative AI Decision-Making Attributes in Complex Health Services: A Rapid Review

Cureus, Год журнала: 2025, Номер unknown

Опубликована: Янв. 30, 2025

The advent of Generative Artificial Intelligence (Generative AI or GAI) marks a significant inflection point in development. Long viewed as the epitome reasoning and logic, incorporates programming rules that are normative. However, it also has descriptive component based on its programmers' subjective preferences any discrepancies underlying data. generates both truth falsehood, supports ethical unethical decisions, is neither transparent nor accountable. These factors pose clear risks to optimal decision-making complex health services such policy regulation. It important examine how makes decisions from rational, normative perspective view ensure an approach design, engineering, use. objective provide rapid review identifies maps attributes reported literature influence services. This provides clear, reproducible methodology accordance with recognised framework Preferred Reporting Items for Systematic reviews Meta-Analyses (PRISMA) 2020 standards adapted review. Inclusion exclusion criteria were developed, database search was undertaken within four systems: ProQuest, Scopus, Web Science, Google Scholar. results include articles published 2023 early 2024. A total 1,550 identified. After removing duplicates, 1,532 remained. Of these, 1,511 excluded selection 21 selected analysis. Learning, understanding, bias most frequently mentioned attributes. brings promise advanced automation, but carries risk. Learning pattern recognition helpful, lack moral compass, empathy, consideration privacy, propensity hallucination detrimental good decision-making. suggest there is, perhaps, more work be done before can applied

Язык: Английский

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Commentary—AI and Public Policy: Navigating the Possibilities and Limitations

Politics &amp Policy, Год журнала: 2025, Номер 53(1)

Опубликована: Фев. 1, 2025

ABSTRACT The integration of artificial intelligence (AI) has the potential to fundamentally transform policy‐making landscape, especially with emergence advanced technologies. This commentary discusses some key multifaceted implications AI in public policy, highlighting its revolutionize decision‐making processes, drive operational efficiency improvements, and enable more informed effective policy interventions. exploration also delves into formidable challenges constraints associated integration, encompassing issues related data bias, transparency concerns, ethical dilemmas surrounding privacy considerations, concerns about potentially dehumanizing decisions. It emphasizes a pressing need for well‐defined frameworks guidelines prioritizing dimensions while safeguarding security human judgment within analysis. I consider benefits integrating advocate nuanced approach that prioritizes enhancing good focusing on values standards. Related Articles Glen, C. M. 2021. “Norm Entrepreneurship Global Cybersecurity.” Politics & Policy 49, no. 5: 1121–1145. https://doi.org/10.1111/polp.12430 . Robles, P. D. J. Mallinson 2023. “Catching up With AI: Pushing Toward Cohesive Governance Framework.” , 51, 3: 355–372. https://doi.org/10.1111/polp.12529 Veloso Meireles, A. 2024. “Digital Rights Perspective: Evolution Debate Internet Forum.” 52, 1: 12–32. https://doi.org/10.1111/polp.12571

Язык: Английский

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