Pub Date : 2024-02-27DOI: 10.26599/IJCS.2023.9100010
Hasan Humayun;Mohammad Nauman Malik;Masitah Ghazali
Motivational theories have been extensively studied in a wide range of fields, such as medical sciences, business, management, physiology, sociology, and particularly in the natural sciences. These theories are regarded as crucial in motivating online workers to engage in crowdsourcing. Nevertheless, there is a dearth of research on an overarching review of these theories. We performed a systematic literature review of peer-reviewed published studies focusing on motivational theories to identify popular theories and risks associated with nascent theories presented over the last decade in crowdsourcing. Based on a review of 91 papers from the domain of the natural sciences, we identified 35 motivational theories. The long tail theory helped us to identify the contribution of major influencing theories in a crowdsourcing environment. The results justify the long tail theory based on the Pareto principle of 80/20, which underlines the 20% of the popular motivation theories, namely self-determination, expectancy-value, game, gamification, behavior change, and incentive theory, as a cause of 80%. Similarly, we discussed the risks associated with 10 theories presented over the long tail, which have a frequency equal to 2. Understanding the significant impact, approximately 80%, of widely recognized motivational theories and their role in risk identification is crucial. This understanding can assist researchers in optimizing their results by effectively integrating these theories.
{"title":"Analysis of Motivational Theories in Crowdsourcing Using Long Tail Theory: A Systematic Literature Review","authors":"Hasan Humayun;Mohammad Nauman Malik;Masitah Ghazali","doi":"10.26599/IJCS.2023.9100010","DOIUrl":"https://doi.org/10.26599/IJCS.2023.9100010","url":null,"abstract":"Motivational theories have been extensively studied in a wide range of fields, such as medical sciences, business, management, physiology, sociology, and particularly in the natural sciences. These theories are regarded as crucial in motivating online workers to engage in crowdsourcing. Nevertheless, there is a dearth of research on an overarching review of these theories. We performed a systematic literature review of peer-reviewed published studies focusing on motivational theories to identify popular theories and risks associated with nascent theories presented over the last decade in crowdsourcing. Based on a review of 91 papers from the domain of the natural sciences, we identified 35 motivational theories. The long tail theory helped us to identify the contribution of major influencing theories in a crowdsourcing environment. The results justify the long tail theory based on the Pareto principle of 80/20, which underlines the 20% of the popular motivation theories, namely self-determination, expectancy-value, game, gamification, behavior change, and incentive theory, as a cause of 80%. Similarly, we discussed the risks associated with 10 theories presented over the long tail, which have a frequency equal to 2. Understanding the significant impact, approximately 80%, of widely recognized motivational theories and their role in risk identification is crucial. This understanding can assist researchers in optimizing their results by effectively integrating these theories.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"8 1","pages":"10-27"},"PeriodicalIF":0.0,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10445691","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139987226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-27DOI: 10.26599/IJCS.2023.9100021
Bohua Zhang;Zhijun Yan;Xiuwei Song;Yingguang Liao;Peilun Li
Online medical platforms have emerged as a popular means for patients to access high-quality medical services efficiently. These platforms offer a variety of services, including paid consultations and free consultations. Given that doctors can increase their revenue through these platforms, researchers should investigate how to improve patients' willingness to pay for these services. Drawing upon social exchange theory, stimulus-organism-response theory, and the information systems (IS) success model, this study proposes a model and five hypotheses to examine the influence of free medical consultations on patients' willingness to buy paid services. To test these hypotheses, a questionnaire survey was conducted, and the collected data were analyzed using the structural equation model. The results indicate that the quality of information and services provided by doctors during free consultations positively affects patients' willingness to pay. By introducing information quality and service quality into the IS success model in the context of free medical consultations, this study contributes to the literature on online medical platforms and expands our understanding of patients' behavior. The findings of this study can be useful for online medical platforms and doctors to design effective platform functions and individual behavioral strategies.
{"title":"Influence of Free Consultation Services on Patients' Willingness to Pay in Online Medical Platforms","authors":"Bohua Zhang;Zhijun Yan;Xiuwei Song;Yingguang Liao;Peilun Li","doi":"10.26599/IJCS.2023.9100021","DOIUrl":"https://doi.org/10.26599/IJCS.2023.9100021","url":null,"abstract":"Online medical platforms have emerged as a popular means for patients to access high-quality medical services efficiently. These platforms offer a variety of services, including paid consultations and free consultations. Given that doctors can increase their revenue through these platforms, researchers should investigate how to improve patients' willingness to pay for these services. Drawing upon social exchange theory, stimulus-organism-response theory, and the information systems (IS) success model, this study proposes a model and five hypotheses to examine the influence of free medical consultations on patients' willingness to buy paid services. To test these hypotheses, a questionnaire survey was conducted, and the collected data were analyzed using the structural equation model. The results indicate that the quality of information and services provided by doctors during free consultations positively affects patients' willingness to pay. By introducing information quality and service quality into the IS success model in the context of free medical consultations, this study contributes to the literature on online medical platforms and expands our understanding of patients' behavior. The findings of this study can be useful for online medical platforms and doctors to design effective platform functions and individual behavioral strategies.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"8 1","pages":"28-37"},"PeriodicalIF":0.0,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10445693","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139987143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-27DOI: 10.26599/IJCS.2023.9100017
Zhishuo Liu;Yuqing Li;Junzhe Xu;Donglu Bai
The study first proposes a heterogeneous fleet, multi-compartment electric vehicle routing problem for perishable products (MCEVRP-PP). We capture a lot of practical demands and constraints of the MCEVRP-PP, such as multiple temperature zones, the hard time window, charging more than once during delivery, various power consumption per unit of refrigeration, etc. We model the MCEVRP-PP as a mixed integer program and aim to optimize the total cost including vehicle fixed cost, power cost, and cooling cost. A hybrid ant colony optimization (HACO) is developed to solve the problem. In the transfer rule, the time window is introduced to improve flexibility in route construction. According to the features of multi-compartment electric vehicles, the capacity constraint judgment algorithm is developed in route construction. Six local search strategies are designed with time windows, recharging stations, etc. Experiments based on various instances validate that HACO solves MCEVRP-PP more effectively than the ant colony optimization (ACO). Compared with fuel vehicles and single-compartment vehicles, electric vehicles and multi-compartment electric vehicles can save the total cost and mileage, and increase utilization of vehicles.
{"title":"Multi-Compartment Electric Vehicle Routing Problem for Perishable Products","authors":"Zhishuo Liu;Yuqing Li;Junzhe Xu;Donglu Bai","doi":"10.26599/IJCS.2023.9100017","DOIUrl":"https://doi.org/10.26599/IJCS.2023.9100017","url":null,"abstract":"The study first proposes a heterogeneous fleet, multi-compartment electric vehicle routing problem for perishable products (MCEVRP-PP). We capture a lot of practical demands and constraints of the MCEVRP-PP, such as multiple temperature zones, the hard time window, charging more than once during delivery, various power consumption per unit of refrigeration, etc. We model the MCEVRP-PP as a mixed integer program and aim to optimize the total cost including vehicle fixed cost, power cost, and cooling cost. A hybrid ant colony optimization (HACO) is developed to solve the problem. In the transfer rule, the time window is introduced to improve flexibility in route construction. According to the features of multi-compartment electric vehicles, the capacity constraint judgment algorithm is developed in route construction. Six local search strategies are designed with time windows, recharging stations, etc. Experiments based on various instances validate that HACO solves MCEVRP-PP more effectively than the ant colony optimization (ACO). Compared with fuel vehicles and single-compartment vehicles, electric vehicles and multi-compartment electric vehicles can save the total cost and mileage, and increase utilization of vehicles.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"8 1","pages":"38-48"},"PeriodicalIF":0.0,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10445695","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139987165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-27DOI: 10.26599/IJCS.2023.9100012
Dingding Wu;Hongbo Sun;Zhihui Li
With the development of modern science and economy, congestions and accidents are brought by increasing traffics. And to improve efficiency, traffic signal based control is usually used as an effective model to alleviate congestions and to reduce accidents. However, the fixed mode of existing phase and cycle time restrains the ability to satisfy ever complex environments, which lead to a low level of efficiency. To further improve traffic efficiency, this paper proposes a crowd-based control model to adapt complex traffic environments. In this model, subjects are deemed as digital selves who can perform actions in complex traffic environments, such as vehicles and traffic lights. These digital selves have their own control processing mechanisms, properties, and behaviors. And each digital self is continuously optimizing its behaviors according to its learning ability, road conditions, and information interactions from connections with the others. Without a fixed structure, the connections are diverse and random to form a more complex traffic environment, which may be connected or disappeared at any time with continues movements. Finally, feasibility and effectiveness of the crowd-based traffic control model is demonstrated by comparison with fixed traffic signal control model, indicating that the model can alleviate traffic congestion effectively.
{"title":"Crowd-Based Traffic Control Model and Simulation","authors":"Dingding Wu;Hongbo Sun;Zhihui Li","doi":"10.26599/IJCS.2023.9100012","DOIUrl":"https://doi.org/10.26599/IJCS.2023.9100012","url":null,"abstract":"With the development of modern science and economy, congestions and accidents are brought by increasing traffics. And to improve efficiency, traffic signal based control is usually used as an effective model to alleviate congestions and to reduce accidents. However, the fixed mode of existing phase and cycle time restrains the ability to satisfy ever complex environments, which lead to a low level of efficiency. To further improve traffic efficiency, this paper proposes a crowd-based control model to adapt complex traffic environments. In this model, subjects are deemed as digital selves who can perform actions in complex traffic environments, such as vehicles and traffic lights. These digital selves have their own control processing mechanisms, properties, and behaviors. And each digital self is continuously optimizing its behaviors according to its learning ability, road conditions, and information interactions from connections with the others. Without a fixed structure, the connections are diverse and random to form a more complex traffic environment, which may be connected or disappeared at any time with continues movements. Finally, feasibility and effectiveness of the crowd-based traffic control model is demonstrated by comparison with fixed traffic signal control model, indicating that the model can alleviate traffic congestion effectively.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"8 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10445692","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139987202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-22DOI: 10.26599/IJCS.2023.9100020
Yihong Yang;Zhangbing Zhou;Xiaocui Li;Xiao Xue;Patrick C. K. Hung;Sami Yangui
The continuous enhancement of living conditions imposes higher requirements for medical and healthcare services. Although improved to a certain extent, there still exist critical challenges in current medical pattern, such as the shortage of medical resources, inefficient medical treatment, and limited medical technology level. The metaverse can offer a novel mechanism to address these problems in traditional healthcare domain, and thus, to enhance the quality of medical services. Generally, the metaverse is a dynamic feedback system that facilitates the collaboration and coexistence between the virtual and physical worlds. By fostering collaboration and evolution between intelligent agents in the virtual world, knowledge of this interdependence can be reconstructed in the digital realm. This allows problems existed in the real world to be abstracted and represented in the digital space, where models can be established and computational experiments can be conducted. The outcomes obtained can dynamically guide or control the execution of strategies in the real world, with real-world execution results serving as dynamic data inputs to continually update the virtual world's model. In addition, this paper summarizes the current research status of different healthcare application scenarios for metaverse, highlights the challenges and vision, and aims to inspire further research in this field.
{"title":"Metaverse for Healthcare: Technologies, Challenges, and Vision","authors":"Yihong Yang;Zhangbing Zhou;Xiaocui Li;Xiao Xue;Patrick C. K. Hung;Sami Yangui","doi":"10.26599/IJCS.2023.9100020","DOIUrl":"10.26599/IJCS.2023.9100020","url":null,"abstract":"The continuous enhancement of living conditions imposes higher requirements for medical and healthcare services. Although improved to a certain extent, there still exist critical challenges in current medical pattern, such as the shortage of medical resources, inefficient medical treatment, and limited medical technology level. The metaverse can offer a novel mechanism to address these problems in traditional healthcare domain, and thus, to enhance the quality of medical services. Generally, the metaverse is a dynamic feedback system that facilitates the collaboration and coexistence between the virtual and physical worlds. By fostering collaboration and evolution between intelligent agents in the virtual world, knowledge of this interdependence can be reconstructed in the digital realm. This allows problems existed in the real world to be abstracted and represented in the digital space, where models can be established and computational experiments can be conducted. The outcomes obtained can dynamically guide or control the execution of strategies in the real world, with real-world execution results serving as dynamic data inputs to continually update the virtual world's model. In addition, this paper summarizes the current research status of different healthcare application scenarios for metaverse, highlights the challenges and vision, and aims to inspire further research in this field.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"7 4","pages":"190-199"},"PeriodicalIF":0.0,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10371270","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139017451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The metaverse, as an extension of the physical world, can be described as a highly immersive digital realm constructed with technologies such as mixed reality and digital modeling. It is rooted in decentralized principles and features novel economic forms, individual identities, and institutional systems. In this architecture, the entire social landscape is redefined under the logic of service, gradually becoming a service ecosystem operated and cooperated by numerous intelligent entities. To achieve sustainable and healthy development of the metaverse ecology, this paper first analyzes the operating logic of the metaverse from the perspective of the fusion of the cyber-physical-social tripartite world and the three typical complexity characteristics faced by it: evolutionary complexity, cognitive complexity, and regulatory complexity. Next, the paper focuses on introducing the idea and technical system of computational experiments as an analysis and governance tool for the metaverse service ecosystem. Then, it explores the integration of computational experiments and metaverse technology, including how computational experiments can be applied to the metaverse and how the metaverse can support computational experiments. Finally, the paper introduces the metaverse applications of computational experiments, covering fields such as industrial design, health care, social governance, and military reform.
{"title":"Computational Experiments: Virtual Production and Governance Tool for Metaverse","authors":"Chao Peng;Xiangning Yu;Wanpeng Ma;Hayata Kaneko;Lin Meng;Yingyue Zhao;Xiao Xue","doi":"10.26599/IJCS.2023.9100023","DOIUrl":"10.26599/IJCS.2023.9100023","url":null,"abstract":"The metaverse, as an extension of the physical world, can be described as a highly immersive digital realm constructed with technologies such as mixed reality and digital modeling. It is rooted in decentralized principles and features novel economic forms, individual identities, and institutional systems. In this architecture, the entire social landscape is redefined under the logic of service, gradually becoming a service ecosystem operated and cooperated by numerous intelligent entities. To achieve sustainable and healthy development of the metaverse ecology, this paper first analyzes the operating logic of the metaverse from the perspective of the fusion of the cyber-physical-social tripartite world and the three typical complexity characteristics faced by it: evolutionary complexity, cognitive complexity, and regulatory complexity. Next, the paper focuses on introducing the idea and technical system of computational experiments as an analysis and governance tool for the metaverse service ecosystem. Then, it explores the integration of computational experiments and metaverse technology, including how computational experiments can be applied to the metaverse and how the metaverse can support computational experiments. Finally, the paper introduces the metaverse applications of computational experiments, covering fields such as industrial design, health care, social governance, and military reform.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"7 4","pages":"158-167"},"PeriodicalIF":0.0,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10371291","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138992290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The metaverse signifies the amalgamation of virtual and tangible realms through human-computer interaction. The seamless integration of human, cyber, and environments within ubiquitous computing plays a pivotal role in fully harnessing the metaverse's capabilities. Nevertheless, metaverse operating systems face substantial hurdles in terms of accessing ubiquitous resources, processing information while safeguarding privacy and security, and furnishing artificial intelligence capabilities to downstream applications. To tackle these challenges, this paper introduces the UbiMeta model, a specialized ubiquitous operating system designed specifically for the metaverse. It extends the capabilities of traditional ubiquitous operating systems and focuses on adapting downstream models and operational capacity to effectively function within the metaverse. UbiMeta comprises four layers: the Ubiquitous Resource Management Layer (URML), the Autonomous Information Mastery Layer (AIML), the General Intelligence Mechanism Layer (GIML), and the Metaverse Ecological Model Layer (MEML). The URML facilitates the seamless incorporation and management of various external devices and resources. It provides a framework for integrating and controlling these resources, including virtualization, abstraction, and reuse. The AIML is responsible for perceiving information and safeguarding privacy and security during storage and processing. The GIML leverages large-scale pre-trained deep-learning feature extractors to obtain effective features for processing information. The MEML focuses on constructing metaverse applications using the principles of Model-as-a-Service (MaaS) and the OODA loop (Observation, Orientation, Decision, Action). It leverages the vast amount of information collected by the URML and AIML layers to build a robust metaverse ecosystem. Furthermore, this study explores how UbiMeta enhances user experiences and fosters innovation in various metaverse domains. It highlights the potential of UbiMeta in revolutionizing medical healthcare, industrial practices, education, and agriculture within the metaverse.
{"title":"UbiMeta: A Ubiquitous Operating System Model for Metaverse","authors":"Yiqiang Chen;Wuliang Huang;Xinlong Jiang;Teng Zhang;Yi Wang;Bingjie Yan;Zhirui Wang;Qian Chen;Yunbing Xing;Dong Li;Guodong Long","doi":"10.26599/IJCS.2023.9100028","DOIUrl":"10.26599/IJCS.2023.9100028","url":null,"abstract":"The metaverse signifies the amalgamation of virtual and tangible realms through human-computer interaction. The seamless integration of human, cyber, and environments within ubiquitous computing plays a pivotal role in fully harnessing the metaverse's capabilities. Nevertheless, metaverse operating systems face substantial hurdles in terms of accessing ubiquitous resources, processing information while safeguarding privacy and security, and furnishing artificial intelligence capabilities to downstream applications. To tackle these challenges, this paper introduces the UbiMeta model, a specialized ubiquitous operating system designed specifically for the metaverse. It extends the capabilities of traditional ubiquitous operating systems and focuses on adapting downstream models and operational capacity to effectively function within the metaverse. UbiMeta comprises four layers: the Ubiquitous Resource Management Layer (URML), the Autonomous Information Mastery Layer (AIML), the General Intelligence Mechanism Layer (GIML), and the Metaverse Ecological Model Layer (MEML). The URML facilitates the seamless incorporation and management of various external devices and resources. It provides a framework for integrating and controlling these resources, including virtualization, abstraction, and reuse. The AIML is responsible for perceiving information and safeguarding privacy and security during storage and processing. The GIML leverages large-scale pre-trained deep-learning feature extractors to obtain effective features for processing information. The MEML focuses on constructing metaverse applications using the principles of Model-as-a-Service (MaaS) and the OODA loop (Observation, Orientation, Decision, Action). It leverages the vast amount of information collected by the URML and AIML layers to build a robust metaverse ecosystem. Furthermore, this study explores how UbiMeta enhances user experiences and fosters innovation in various metaverse domains. It highlights the potential of UbiMeta in revolutionizing medical healthcare, industrial practices, education, and agriculture within the metaverse.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"7 4","pages":"180-189"},"PeriodicalIF":0.0,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10371290","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138989858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-22DOI: 10.26599/IJCS.2023.9100025
Qingzhong Li;Lanju Kong;Xinping Min;Baochen Zhang
With the continuous development of digital technology, the metaverse, as a concept of virtual and real fusion, is gradually becoming a reality. However, the development of trusted collaborative network technology that underpins the metaverse is still immature. Blockchain can support the construction of trusted collaborative networks due to its own characteristics of decentralization, transparency, and traceability. However, as blockchain can only support simple digital assets such as digital currencies and tokens, it cannot implement the trusted collaboration of complex digital assets in the metaverse. Therefore, this article proposes a blockchain-based trusted collaborative network infrastructure for future digital economy and society—DareChain. DareChain has proposed a novel collaborative-worker multi-chain system, trusted subject-object account model, layered model of smart contracts supporting trusted interactions, hyperlinear ledger consensus algorithm, and transaction model that supports privacy protection. It has been explored in metaverse applications in various scenarios such as government affairs, medical care, and finance to solve problems such as single content expression, few applications of business scenarios, low throughput, and easy leakage of security and privacy when blockchain is used as the underlying trusted collaborative network for the metaverse.
{"title":"DareChain: A Blockchain-Based Trusted Collaborative Network Infrastructure for Metaverse","authors":"Qingzhong Li;Lanju Kong;Xinping Min;Baochen Zhang","doi":"10.26599/IJCS.2023.9100025","DOIUrl":"10.26599/IJCS.2023.9100025","url":null,"abstract":"With the continuous development of digital technology, the metaverse, as a concept of virtual and real fusion, is gradually becoming a reality. However, the development of trusted collaborative network technology that underpins the metaverse is still immature. Blockchain can support the construction of trusted collaborative networks due to its own characteristics of decentralization, transparency, and traceability. However, as blockchain can only support simple digital assets such as digital currencies and tokens, it cannot implement the trusted collaboration of complex digital assets in the metaverse. Therefore, this article proposes a blockchain-based trusted collaborative network infrastructure for future digital economy and society—DareChain. DareChain has proposed a novel collaborative-worker multi-chain system, trusted subject-object account model, layered model of smart contracts supporting trusted interactions, hyperlinear ledger consensus algorithm, and transaction model that supports privacy protection. It has been explored in metaverse applications in various scenarios such as government affairs, medical care, and finance to solve problems such as single content expression, few applications of business scenarios, low throughput, and easy leakage of security and privacy when blockchain is used as the underlying trusted collaborative network for the metaverse.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"7 4","pages":"168-179"},"PeriodicalIF":0.0,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10371269","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139014875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-22DOI: 10.26599/IJCS.2023.9100027
Yinsheng Li
The objective of this work is to apply cutting-edge digital techniques to address several identified essential problems, from which farmers, farming, and farms have suffered for centuries. It has been found that the participants in the metaverse-related agricultural applications have been designed to be users rather than residents. There is another critical setback for the metaverse to be a fusion cyber-physical space, in which the cyber space is subject to different values principles from the physical space. A trigram metaverse of Cyber-Farm is proposed to be constructed on a unified trigram space through the fusion of cyber, physical, and values spaces. As a parallel and superstructure to the cyber and physical spaces, the values space enables the cyber space and physical space to follow the same values principles through its autonomic, values-driven, and crowd-dispatching governance system. Unlike in the existing metaverse-related agricultural applications, the Cyber-Farm participants are the subjects/residents rather than the users of a Cyber-Farm. The agricultural elements are coming into being and evolving in the interlinked and fusion trigram space. The basic production means, production relations, and superstructure of the trigram metaverse have been discussed. Both the connotations and scopes of farm, farmer, and farming have been redefined in the trigram metaverse of Cyber-Farm. The intentions, scenarios, principles, and businesses of the Cyber-Farm have been restructured. Basically, the Cyber-Farm can address the identified essential problems with today's agriculture, while a grand vision is to bring about farm-featured Utopias parallel to human communities.
{"title":"A Values-Driven Cyber-Farm of Trigram Metaverse Based on Autonomic Crowd-Dispatching","authors":"Yinsheng Li","doi":"10.26599/IJCS.2023.9100027","DOIUrl":"10.26599/IJCS.2023.9100027","url":null,"abstract":"The objective of this work is to apply cutting-edge digital techniques to address several identified essential problems, from which farmers, farming, and farms have suffered for centuries. It has been found that the participants in the metaverse-related agricultural applications have been designed to be users rather than residents. There is another critical setback for the metaverse to be a fusion cyber-physical space, in which the cyber space is subject to different values principles from the physical space. A trigram metaverse of Cyber-Farm is proposed to be constructed on a unified trigram space through the fusion of cyber, physical, and values spaces. As a parallel and superstructure to the cyber and physical spaces, the values space enables the cyber space and physical space to follow the same values principles through its autonomic, values-driven, and crowd-dispatching governance system. Unlike in the existing metaverse-related agricultural applications, the Cyber-Farm participants are the subjects/residents rather than the users of a Cyber-Farm. The agricultural elements are coming into being and evolving in the interlinked and fusion trigram space. The basic production means, production relations, and superstructure of the trigram metaverse have been discussed. Both the connotations and scopes of farm, farmer, and farming have been redefined in the trigram metaverse of Cyber-Farm. The intentions, scenarios, principles, and businesses of the Cyber-Farm have been restructured. Basically, the Cyber-Farm can address the identified essential problems with today's agriculture, while a grand vision is to bring about farm-featured Utopias parallel to human communities.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"7 4","pages":"200-211"},"PeriodicalIF":0.0,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10371288","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139013187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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