【Author】 Oleksy, Tomasz Wnuk, Anna Piskorska, Malgorzata Toma, Catalina L.

【Source】COMPUTERS IN HUMAN BEHAVIOR

【影响因子】8.957

【主题类别】

区块链应用-虚拟经济-元宇宙

【Abstract】The most ambitious visions of metaverse technology promise to create virtual places that offer the same possibilities as the real world. However, as any novel technology, the metaverse raises controversies and questions. Does one want to migrate to the metaverse? Does one's willingness to move to virtual worlds depend on the bonds with existing virtual places and the sense of threat related to this technology? To address these questions, we drew on the theories of place attachment and intergroup threat. In two studies - (1) among users of openworld games (N = 366) and (2) using a sample representative of the Polish population in terms of age, gender and size of the residential place (N = 995) - we observed a low level of willingness to migrate to the metaverse. The participants displayed a high level of perceived metaverse-related threat, ranging from privacy concerns to the belief that metaverse can deprive one of access to essential human experiences. However, greater attachment to virtual, as opposed to real, places was associated with both an increased willingness to migrate to the metaverse and a low level of perceived threat. The results provide a better understanding of individuals' perception of the metaverse and of how the bonds with virtual and real places translate into attitudes towards metaverse technology.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2023

【收录时间】2023-02-28

【文献类型】 实验仿真

【DOI】 10.1016/j.chb.2022.107642

【Author】 Dwivedi, Yogesh K. Hughes, Laurie Wang, Yichuan Alalwan, Ali A. Ahn, Sun J. (Grace) Balakrishnan, Janarthanan Barta, Sergio Belk, Russell Buhalis, Dimitrios Dutot, Vincent Felix, Reto Filieri, Raffaele Flavian, Carlos Gustafsson, Anders Hinsch, Chris Hollensen, Svend Jain, Varsha Kim, Jooyoung Krishen, Anjala S. Lartey, Jared O. Pandey, Neeraj Ribeiro-Navarrete, Samuel Raman, Ramakrishnan Rauschnabel, Philipp A. Sharma, Amalesh Sigala, Marianna Veloutsou, Cleopatra Wirtz, Jochen

【Source】PSYCHOLOGY & MARKETING

【影响因子】5.507

【主题类别】

区块链应用-虚拟经济-元宇宙

【Abstract】The initial hype and fanfare from the Meta Platforms view of how the metaverse could be brought to life has evolved into an ongoing discussion of not only the metaverse's impact on users and organizations but also the societal and cultural implications of widespread usage. The potential of consumer interaction with brands within the metaverse has engendered significant debate within the marketing-focused discourse on the key challenges and transformative opportunities for marketers. Drawing on insights from expert contributors, this study examines the marketing implications of the hypothetical widespread adoption of the metaverse. We identify new research directions and propose a new framework offering valuable contributions for academia, practice, and policy makers. Our future research agenda culminates in a checklist for researchers which clarifies how the metaverse can be beneficial to digital marketing and advertising, branding, services, value creation, and consumer wellbeing.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】augmented reality; avatars; consumer behaviour; extended reality; marketing; Metaverse; second life; virtual reality; virtual world

【发表时间】

【收录时间】2023-02-28

【文献类型】 观点阐述

【DOI】 10.1002/mar.21767

【Author】 Li, Ming Yu, Zhonggen

【Source】FRONTIERS IN PSYCHOLOGY

【影响因子】4.232

【主题类别】

区块链应用-虚拟经济-元宇宙

【Abstract】Over the past two decades, various digital technologies have been applied to sustain higher education. As the latest emerging information technology, the metaverse has been a recurring theme to be considered as a new direction to promote blended English learning. This study aims to investigate metaverse-based blended English learning. Through a systematic review based on bibliographic and content analysis, the study attempts to integrate the evidence to generate a model that links the education-based metaverse. The metaverse platforms in which learners' academic success can be significantly enhanced due to a high degree of learner engagement in immersive virtual environments. In addition, the virtual learning experience is restricted by the degree of digital literacy at the same time. To improve instructors' and learners' digital literacy levels, necessary support is indispensable by educational institutions and designers of the metaverse platforms. Meanwhile, this study addresses potential challenges that may hinder sustaining metaverse-based blended English learning, and provides some suggestions based on the previous literature. In future research, we will keep updating and polishing the metaverse-based blended English learning research to provide more detailed guidance for researchers and educators.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】metaverse; blended English learning; learner engagement; learning outcome; digital literacy; challenges

【发表时间】2023

【收录时间】2023-02-28

【文献类型】 理论模型

【DOI】 10.3389/fpsyg.2022.1087508

【Author】 Gec, Sandi Stankovski, Vlado Lavbic, Dejan Kochovski, Petar

【Source】SENSORS

【影响因子】3.847

【主题类别】

区块链技术-核心技术-智能合约

【Abstract】IoT environments are becoming increasingly heterogeneous in terms of their distributions and included entities by collaboratively involving not only data centers known from Cloud computing but also the different types of third-party entities that can provide computing resources. To transparently provide such resources and facilitate trust between the involved entities, it is necessary to develop and implement smart contracts. However, when developing smart contracts, developers face many challenges and concerns, such as security, contracts' correctness, a lack of documentation and/or design patterns, and others. To address this problem, we propose a new recommender system to facilitate the development and implementation of low-cost EVM-enabled smart contracts. The recommender system's algorithm provides the smart contract developer with smart contract templates that match their requirements and that are relevant to the typology of the fog architecture. It mainly relies on OpenZeppelin, a modular, reusable, and secure smart contract library that we use when classifying the smart contracts. The evaluation results indicate that by using our solution, the smart contracts' development times are overall reduced. Moreover, such smart contracts are sustainable for fog-computing IoT environments and applications in low-cost EVM-based ledgers. The recommender system has been successfully implemented in the ONTOCHAIN ecosystem, thus presenting its applicability.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】smart contract; classification; cluster; recommender system; inheritance

【发表时间】2023

【收录时间】2023-02-28

【文献类型】 理论模型

【DOI】 10.3390/s23020639

【Author】 Ali, Sikandar Abdullah, Tagne Poupi Theodore Armand, Tagne Poupi Theodore Athar, Ali Hussain, Ali Ali, Maisam Yaseen, Muhammad Joo, Moon-Il Kim, Hee-Cheol

【Source】SENSORS

【影响因子】3.847

【主题类别】

区块链应用-虚拟经济-元宇宙

【Abstract】Digitization and automation have always had an immense impact on healthcare. It embraces every new and advanced technology. Recently the world has witnessed the prominence of the metaverse which is an emerging technology in digital space. The metaverse has huge potential to provide a plethora of health services seamlessly to patients and medical professionals with an immersive experience. This paper proposes the amalgamation of artificial intelligence and blockchain in the metaverse to provide better, faster, and more secure healthcare facilities in digital space with a realistic experience. Our proposed architecture can be summarized as follows. It consists of three environments, namely the doctor's environment, the patient's environment, and the metaverse environment. The doctors and patients interact in a metaverse environment assisted by blockchain technology which ensures the safety, security, and privacy of data. The metaverse environment is the main part of our proposed architecture. The doctors, patients, and nurses enter this environment by registering on the blockchain and they are represented by avatars in the metaverse environment. All the consultation activities between the doctor and the patient will be recorded and the data, i.e., images, speech, text, videos, clinical data, etc., will be gathered, transferred, and stored on the blockchain. These data are used for disease prediction and diagnosis by explainable artificial intelligence (XAI) models. The GradCAM and LIME approaches of XAI provide logical reasoning for the prediction of diseases and ensure trust, explainability, interpretability, and transparency regarding the diagnosis and prediction of diseases. Blockchain technology provides data security for patients while enabling transparency, traceability, and immutability regarding their data. These features of blockchain ensure trust among the patients regarding their data. Consequently, this proposed architecture ensures transparency and trust regarding both the diagnosis of diseases and the data security of the patient. We also explored the building block technologies of the metaverse. Furthermore, we also investigated the advantages and challenges of a metaverse in healthcare.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】metaverse; healthcare; explainable AI; blockchain; healthcare metaverse; immersive technologies; mixed reality; digital twins; immersive technologies in healthcare; NLP

【发表时间】2023

【收录时间】2023-02-28

【文献类型】 理论模型

【DOI】 10.3390/s23020565

【Author】 Fernandes, Leonardo H. S. Bouri, Elie Silva, Jose W. L. Bejan, Lucian de Araujo, Fernando H. A.

【Source】PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

【影响因子】3.778

【主题类别】

区块链治理-市场治理-数字货币

【Abstract】We examine the price disorder and informational efficiency of five cryptocurrencies (Bitcoin, BNB, Cardano, Ethereum, and XRP) before and during the COVID-19 pandemic. In this sense, we estimate the permutation entropy and Fisher information measure (FIM). We use these complexity measures to construct the Shannon-Fisher causality plane (SFCP) to map these cryptocurrencies and their respective locations in a two-dimensional plane and then apply the sliding time window approach to study the temporal evolution of informational efficiency. All cryptocurrencies exhibit high but slightly varying informational efficiency during both periods. Cardano was the most efficient cryptocurrency. These results might point to the increasing maturity and lower potential for price predictability, which matter to cryptocurrencies' usage for liquidity risk diversification strategy. (c) 2022 Elsevier B.V. All rights reserved.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Cryptocurrencies; Price time series; COVID-19; Information theory quantifiers; Efficiency

【发表时间】2022

【收录时间】2023-02-28

【文献类型】 实验仿真

【DOI】 10.1016/j.physa.2022.128218

【Author】 Vidhya, S. Kalaivani, V.

【Source】PEER-TO-PEER NETWORKING AND APPLICATIONS CCF-C

【影响因子】3.488

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】With the rapid progress of network information technologies, security in medical data transmission has emerged as a popular research topic. Electronic Health Data (EHR) is vulnerable to security breaches, tampering, manipulation, and data leakage. The blockchain's data integrity, decentralization, and anonymity opened up new possibilities for addressing the aforementioned issues. Therefore, this paper presents a Blockchain-based Access Control Scheme (BACS) with Multiple Party Authority (MPA), smart contract, and proxy re encryption to secure the EHR. The proposed scheme consists of six phases: the registration phase, appointment phase, data aggregation stage, storage phase, query phase, and validation phase. The medical data is encrypted by using a Lightweight Fused Cryptographic (LFC) algorithm with the signature of the patient and doctor to ensure confidentiality and integrity. The encrypted EHR is then stored on Interplanetary File Systems (IPFS), which is a decentralised file storage platform. Moreover, the developed smart contract verifies the authenticity of the users, provides a reputation score for the oracle, and creates a time seal. This enhances the security of the system from external attacks as well as internal attacks. A security analysis is conducted for the proposed method, and the performance is compared with the existing techniques based on encryption time, decryption time, and computation cost.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Security; Privacy; Encryption; Medical Data; Smart Contract; Oracle

【发表时间】

【收录时间】2023-02-28

【文献类型】 理论模型

【DOI】 10.1007/s12083-023-01449-1

【Author】 Padghan, Pavan Ramchandra Samuel, Arul Daniel Pitchaimuthu, Raja

【Source】ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS

【影响因子】2.902

【主题类别】

区块链技术-核心技术-智能合约

【Abstract】With the liberalization of the Electricity Market (EM), a secure demand response program (DRP) for real-time decisions is needed to enhance the effectiveness, stability, and security of the EM. Customers play a crucial role in DRP as they can offer flexibility when the market demands it. Nevertheless, the aggregator does not fully understand the customer's available DR capacity to accurately bid on market transactions. To do so, the article presents a smart contract based on an optimal bidding strategy for an aggregator that considers customer receptiveness. First, we endeavor to determine the customer's receptiveness concerning various incentives where the home energy management system (HEMS) introduces the employed load adjustment for electrical appliances. Second, the aggregator adopts a rational approach to employing the optimal day-ahead bidding strategy and scheduling for energy storage systems (ESS) to exploit economic benefits. The execution of Ethereum smart contracts in market transactions ensures transparency, security, and superior reliability. A test case with realistic data is presented to demonstrate the usefulness of the proposed bidding strategy. The results confirm that the aggregator determines the optimal bidding value for the next day. An aggregator could generate a profit of $23 from the bidding strategy. The regional transmission system operator delivers 485 kWh of flexibility, of which consumers account for 60% and ESS for 40%, generating a profit of $40 per day. Prosumers selling electricity to the aggregator would make an average profit of $6 per day. Thus, the execution of DRP and a bidding strategy results in economic benefits for the aggregator and other entities in the EM.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Bidding strategy; demand response (DR); electricity market (EM); Ethereum blockchain; smart contract

【发表时间】2023

【收录时间】2023-02-28

【文献类型】 理论模型

【DOI】 10.1080/15567036.2023.2165740

【Author】 Manahov, Viktor

【Source】INTERNATIONAL JOURNAL OF FINANCE & ECONOMICS

【影响因子】1.634

【主题类别】

区块链治理-市场治理-数字货币

【Abstract】There has been a tremendous growth in cryptocurrencies, which has challenged policy makers around the globe. We obtain millisecond data of some of the most frequently traded cryptocurrencies - bitcoin, ethereum, ripple, litecoin and dash - and two cryptocurrency indices - CRIX and CCI30 - to examine their profitability. Our profitability findings suggest that cryptocurrency traders generate significant profits after considering reasonable transaction costs. We also observe that cryptocurrency market participants can expand and sustain the levels of profitability levels in the subsequent trading activity. Our robustness checks with more recent post-Covid data are consistent with the initial profitability findings, although we observe lower levels of profits for the two indices and weaker profit persistency for all digital assets.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】cryptocurrency markets; cryptocurrency profitability; market efficiency

【发表时间】

【收录时间】2023-02-28

【文献类型】 实验仿真

【DOI】 10.1002/ijfe.2778

【Author】 Zhao, Zeyan Zhao, Bo Ji, Zhongtao Liang, Zhengyu

【Source】INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGY EDUCATION

【影响因子】0.000

【主题类别】

区块链应用-虚拟经济-元宇宙

【Abstract】The application of the metaverse provides a new perspective for educational innovation and talent training in the new century. By creating multi-channel perceptions such as sight, hearing, and touch through the VR/AR/MR immersive environment, the study found that learners' emotional engagement and cognitive level can be effectively improved in the metaverse. The metaverse integrates information technology, intelligent technology, and digital technology to realize a multimodal human-machine interaction and intelligent evaluation. On this basis, a personalized learning space in the educational metaverse is developed, which is researched by the PPG signal of the learning process, the pre-test, and post-test data to verify each other. In addition, it is verified that learners' learning engagement and learning effects are affected in the personalized learning space of the educational metaverse. A comparison of PPG signal-based metaverse learning and real-world classroom learning is taken.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Heart Rate Signal; Metaverse; Personalized Learning Space; Wind Power Generation

【发表时间】2022

【收录时间】2023-02-28

【文献类型】 观点阐述

【DOI】 10.4018/ijicte.314565