International Journal of Crowd Science最新文献_第2页

Distributed Event-Triggered Control for UAV Formation Tracking with Collision and Obstacle Avoidance 基于碰撞与避障的无人机编队跟踪分布式事件触发控制

International Journal of Crowd Science Pub Date : 2026-06-01 Epub Date: 2026-06-02 DOI: 10.26599/IJCS.2026.9100002

Wanjing Zhang;Xinli Xu

{"title":"Distributed Event-Triggered Control for UAV Formation Tracking with Collision and Obstacle Avoidance","authors":"Wanjing Zhang;Xinli Xu","doi":"10.26599/IJCS.2026.9100002","DOIUrl":"https://doi.org/10.26599/IJCS.2026.9100002","url":null,"abstract":"Unmanned Aerial Vehicle (UAV) formation control represents a form of collaborative crowd behavior. This paper proposes a distributed event-triggered tracking control method for multi-UAV formation operating in complex environments. To address the challenges of an unknown leader motion state, bounded external disturbances, and obstacle avoidance, a composite control architecture is constructed that synchronously integrates state estimation, cooperative control, and communication optimization. Firstly, an Extended State Observer (ESO) is designed to estimate the leader's unknown time-varying velocity and control input, while a Sliding Mode Disturbance Observer (SMDO) achieves precise compensation for unknown external disturbances. Secondly, a distributed cooperative controller without predefined geometric configurations is proposed. This controller integrates tracking error feedback, neighbor velocity coordination, and potential field functions to achieve self-organized formation generation and unified handling of collision/obstacle avoidance. Subsequently, a state-error-threshold-based event-triggered mechanism is established, significantly reducing communication load. Lyapunov theory proves the global asymptotic stability of the system and excludes Zeno behavior. Simulations demonstrate that the proposed control strategy enables the UAV formation to cooperatively track a maneuvering target both with and without obstacles, while effectively reducing inter-agent communication frequency. Future work will extend the method to scenarios under cyber-attacks and further validate it through physical UAV experiments.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"10 2","pages":"106-116"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11548560","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148141584","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}

引用次数: 0

Back to the Future: From Platform Economy to Decentralized Economy 回到未来：从平台经济到分散经济

International Journal of Crowd Science Pub Date : 2026-06-01 Epub Date: 2026-06-02 DOI: 10.26599/IJCS.2025.9100009

Sangtian Guan;Juanjuan Li;Siji Ma;Xiaolong Liang;Xiao Xue;Fei-Yue Wang

{"title":"Back to the Future: From Platform Economy to Decentralized Economy","authors":"Sangtian Guan;Juanjuan Li;Siji Ma;Xiaolong Liang;Xiao Xue;Fei-Yue Wang","doi":"10.26599/IJCS.2025.9100009","DOIUrl":"https://doi.org/10.26599/IJCS.2025.9100009","url":null,"abstract":"This paper discusses the technological development from Web 1.0 to Web 3.0, focusing on their corresponding economic models. The study begins by analyzing the Web 1.0 portal economy, followed by an in-depth exploration of the rise of the Web 2.0 platform economy and its associated challenges, including the lemon market, platform monopolies, price discrimination, and algorithmic asymmetries. To address those issues, this study elaborates on the Web 3.0 token economy and emphasizes the crucial role of decentralized technologies like blockchain in bringing new production factors and relationships. This inspires the proposal of the Decentralized Economy (DeEco), a novel user-autonomous economic model that integrates advanced Artificial Intelligence (AI) technologies with blockchain. Furthermore, the key techniques for formulating DeEco are analyzed, including Decentralized Autonomous Organizations and Operations (DAOs), Decentralized Value Systems (DVSs), Decentralized Physical Infrastructure Networks (DePIN) and digital humans. This study not only offers a co-evolutionary perspective of web technologies and economic forms but also introduces an innovative economic paradigm to support open, diverse and intelligent societies.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"10 2","pages":"117-127"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11548563","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148141585","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}

引用次数: 0

A Review of 6G Conceptual Components, Ultra-Dense Networks, and Research Challenges Towards Cyber-Physical-Social Systems 6G概念组件、超密集网络和网络-物理-社会系统研究挑战综述

International Journal of Crowd Science Pub Date : 2026-03-02 DOI: 10.26599/IJCS.2024.9100008

Hani Attar;Haitham Issa;Jafar Ababneh;Khosro Rezaee;Ayat Alrosan;Mohanad A. Deif;Ahmed A.A. Solyman

{"title":"A Review of 6G Conceptual Components, Ultra-Dense Networks, and Research Challenges Towards Cyber-Physical-Social Systems","authors":"Hani Attar;Haitham Issa;Jafar Ababneh;Khosro Rezaee;Ayat Alrosan;Mohanad A. Deif;Ahmed A.A. Solyman","doi":"10.26599/IJCS.2024.9100008","DOIUrl":"https://doi.org/10.26599/IJCS.2024.9100008","url":null,"abstract":"Next-generation wireless network applications that combine the Internet of Things (IoT), intelligent edges, and connectivity technologies will benefit every area, including e-health and medical Internet of Things (M-IoT). The fifth generation (5G) mobile network technology cannot match the requirements of emerging mobile apps, which require extreme communication speed, network intelligence, ultra-low latency, comprehensive connectivity, and the capacity to manage diversely related usages. The sixth generation (6G) mobile network technology establishes new performance standards that the fifth generation (5G) mobile network technology could not satisfy. For incredibly immersive applications such as 3D communications and enormous virtual reality (VR)/ extended reality (XR) applications to be economically viable, 6G capabilities must be delivered at a large scale. Deploying several tiny cells to construct ultra-dense networks (UDN) is one option for tackling the extraordinary rise in capacity and coverage needs. The proposed work estimates that only the future 6G networks can deliver a high-performance connection with many connected devices, particularly in challenging situations such as diverse mobility, energetic environments, and extreme density. Accordingly, this article discusses the most current and forthcoming 6G network-compatible advancements to comprehensively review 6G mobile communication technologies in single survey research. At the outset, we thoroughly overview UDN and the 6G system's goals, motivations, requirements, architecture, and conceptual parts.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"10 1","pages":"41-55"},"PeriodicalIF":0.0,"publicationDate":"2026-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11418753","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147323768","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}

引用次数: 0

Rumor Propagation Patterns on Social Media: Evidence from Sina Weibo 社交媒体上的谣言传播模式：来自新浪微博的证据

International Journal of Crowd Science Pub Date : 2026-03-02 DOI: 10.26599/IJCS.2025.9100013

Qian Liu;Jin Ji;Ruoxing Li;Leiju Qiu

{"title":"Rumor Propagation Patterns on Social Media: Evidence from Sina Weibo","authors":"Qian Liu;Jin Ji;Ruoxing Li;Leiju Qiu","doi":"10.26599/IJCS.2025.9100013","DOIUrl":"https://doi.org/10.26599/IJCS.2025.9100013","url":null,"abstract":"In the context of social media, the phenomenon of rumoring plays an increasingly significant role that profoundly affects various aspects of public psychology and social order. However, in the Chinese context, the microstructure of rumor propagation has yet to be explored, and few distinguishing propagation patterns have been proposed. This study focuses on the propagation patterns of rumors on social media and characterizes and analyzes them along three dimensions: propagation paths, propagation velocity, and propagation scope. Through principal component analysis and cluster analysis, we successfully identified three differentiated rumor propagation modes: the extensively connected propagation mode, the deep propagation mode, and the slow diffusion propagation mode. By meticulously distinguishing and analyzing these three propagation modes in social media, this study not only deepens our understanding of the mechanisms of rumor propagation but also provides practical value for the prevention and control of rumors. This study also contributes to crowd science by revealing collective behavioral patterns underlying rumor propagation.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"10 1","pages":"56-66"},"PeriodicalIF":0.0,"publicationDate":"2026-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11418749","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147323765","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}

引用次数: 0

Effect of Team Diversity on Physician Performance and Reputation: Evidence from an Online Healthcare Platform 团队多样性对医生绩效和声誉的影响：来自在线医疗平台的证据

International Journal of Crowd Science Pub Date : 2026-03-02 DOI: 10.26599/IJCS.2024.9100039

Bingkun Wang;Zhijun Yan;Liang Yang;Han Yang

{"title":"Effect of Team Diversity on Physician Performance and Reputation: Evidence from an Online Healthcare Platform","authors":"Bingkun Wang;Zhijun Yan;Liang Yang;Han Yang","doi":"10.26599/IJCS.2024.9100039","DOIUrl":"https://doi.org/10.26599/IJCS.2024.9100039","url":null,"abstract":"With the development of the Internet, an increasing number of patients are consulting and solving their health problems via online healthcare platforms. Medical team service is a new cooperative paradigm introduced by online healthcare platforms to cater to the diversified needs of patients. Existing studies have examined the performance of online medical teams at the team level, whereas little attention has been paid to the performance of individual team members. To fill this gap, we perform an empirical study to analyze whether online medical team diversity affects team members' performance and reputation. Leveraging the data collected from a leading online healthcare platform in China, we employ a fixed-effect model to investigate the impact of online medical team diversity in experience and reputation on physician performance and reputation. The results indicate that both the experience diversity and reputation diversity of online medical teams positively impact team members' individual service performance. However, interestingly, our results suggest that reputation diversity of online medical teams negatively influences individual reputation and positively influences individual service performance. Meanwhile, our findings indicate that the presence of “superstar physicians” within the team amplifies the positive effect of team experience diversity, though a similar effect is not observed in the context of team reputation diversity. Our study provides valuable insights into the factors influencing physicians' decisions to join online medical teams and sheds light on strategies to improve the performance and reputation of team members.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"10 1","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2026-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11418748","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147323761","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}

引用次数: 0

Enhancing Stroke Prediction Using Generative Adversarial Networks for Intelligent Medical Care 基于生成对抗网络的智能医疗卒中预测

International Journal of Crowd Science Pub Date : 2026-03-02 DOI: 10.26599/IJCS.2023.9100034

Ahmad Al-Qerem;Ali Mohd Ali;Issam Jebreen;Ahmad Nabot;Shadi Nashwan;Amjad Aldweesh;Someah Alangari;Mohammad Alauthman;Musab Alzgol

{"title":"Enhancing Stroke Prediction Using Generative Adversarial Networks for Intelligent Medical Care","authors":"Ahmad Al-Qerem;Ali Mohd Ali;Issam Jebreen;Ahmad Nabot;Shadi Nashwan;Amjad Aldweesh;Someah Alangari;Mohammad Alauthman;Musab Alzgol","doi":"10.26599/IJCS.2023.9100034","DOIUrl":"https://doi.org/10.26599/IJCS.2023.9100034","url":null,"abstract":"Stroke prediction and prevention is an important focus in healthcare due to the significant morbidity and mortality associated with strokes. In this study, we investigate using Generative Adversarial Networks (GANs) to augment a stroke dataset and evaluate the effects on prediction performance. The original dataset contained patient medical records and demographics used to predict stroke occurrence. We trained a GAN on these data and generated synthetic samples to augment the training set. Five machine learning models were developed on the original and augmented datasets, including decision tree, k-nearest neighbors, random forest, Support Vector Machine (SVM), and logistic regression classifiers. Experiments indicate statistically significant improvements in prediction accuracy, F1 score, specificity, and sensitivity with GAN augmentation across all models. The random forest classifier achieved the highest average accuracy of 0.981 on augmented data, versus 0.967 on original data. GANs prove effective for tackling class imbalance and enabling more robust stroke prediction from limited real-world data. This demonstrates the potential of data augmentation and generative models to enhance healthcare Artificial Intelligence (AI) applications.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"10 1","pages":"13-25"},"PeriodicalIF":0.0,"publicationDate":"2026-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11418751","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147323763","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}

引用次数: 0

Enhancing Construction Material Management via a Blockchain-Enabled Platform: Design, Implementation, and Case Evaluation 通过区块链平台加强建筑材料管理：设计、实施和案例评估

International Journal of Crowd Science Pub Date : 2026-03-02 DOI: 10.26599/IJCS.2023.9100037

Changjun Wang;Changrui Ren;Lin Tang;Xianzhang Wang;Sen Pang;Shengjie Ji

{"title":"Enhancing Construction Material Management via a Blockchain-Enabled Platform: Design, Implementation, and Case Evaluation","authors":"Changjun Wang;Changrui Ren;Lin Tang;Xianzhang Wang;Sen Pang;Shengjie Ji","doi":"10.26599/IJCS.2023.9100037","DOIUrl":"https://doi.org/10.26599/IJCS.2023.9100037","url":null,"abstract":"Blockchain has witnessed rapid development in recent years due to its unique features such as decentralization, transparency, and immutability. It is widely applied in various industries for material management. In terms of management, blockchain technology can play an important role in enhancing efficiency, security, and reliability. In this paper, we present a blockchain-based process traceability management platform for construction material quality. The platform offers various functional modules, including planning management, raw material management, acceptance sampling, and other functions for different roles such as construction workers, material suppliers, test personnel, and so on. By leveraging the immutability, traceability, and other features of blockchain technology, the platform ensures the transparency, security, and integrity of data exchange and management throughout the supply chain. We conducted a case study with a large construction company in China to demonstrate the feasibility and effectiveness of our platform. The platform has been deployed across 475 construction sites covering various provinces in China. Practice shows that the reinforcing steel loss rate is reduced from 5% to 3%, resulting in an annual reduction of steel loss by 800 000 t. Improve the efficiency of problem material positioning from day to minute level. Our work lays a foundation for the digital transformation of the construction industry.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"10 1","pages":"26-33"},"PeriodicalIF":0.0,"publicationDate":"2026-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11418752","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147323757","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}

引用次数: 0

Architecture Design of Occupational Annuity Business Platform Based on Blockchain 基于b区块链的职业年金业务平台架构设计

International Journal of Crowd Science Pub Date : 2026-03-02 DOI: 10.26599/IJCS.2024.9100017

Kai Qiu;Lanju Kong;Jun Lin

{"title":"Architecture Design of Occupational Annuity Business Platform Based on Blockchain","authors":"Kai Qiu;Lanju Kong;Jun Lin","doi":"10.26599/IJCS.2024.9100017","DOIUrl":"https://doi.org/10.26599/IJCS.2024.9100017","url":null,"abstract":"As a supplementary pension insurance, occupational pension is an important component of the multi-level social security system, and plays an important role in coping with the aging of our population and alleviating the pressure of social pension. At present, there are problems in the operation of occupational pension, such as information asymmetry, high management costs, and long business cycles, which seriously restrict the development of the industry. As one of the new generation popular information technologies, blockchain has the characteristics of data traceability, immutability, and trustworthy mechanism, making it one of the solutions to the pain points of occupational pension operation. In this paper, the author designs an occupational annuity business platform based on blockchain, which can effectively solve the problems of cumbersome interaction, inconsistent data and difficult supervision in the current operation process of occupational annuity. The platform integrates actual business scenarios with blockchain, and combines the characteristics of smart contracts and InterPlanetary File System (IPFS) technology to propose the concept of smart contract data standardization and a mixed on-chain and off-chain storage model. The aim is to build an operational support platform that is convenient for institutional interaction, secure for business data, and efficient for supervision and auditing, and to propose valuable technical solutions for existing occupational pension operations. The valuable technical scheme is proposed for the current operation of occupational annuity. Due to the late start and short operation time of occupational annuity, there are few relevant researches in the field of occupational annuity at present. It is even more rare to propose practical solutions to the problems existing in the current operation. Therefore, the platform proposed by the author has higher innovation and greater value.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"10 1","pages":"34-40"},"PeriodicalIF":0.0,"publicationDate":"2026-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11418747","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147323764","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}

引用次数: 0

On the Determinants of Platform Boundary: A Study from the Perspective of Transaction Cost Theory 交易成本理论视角下的平台边界决定因素研究

International Journal of Crowd Science Pub Date : 2025-08-26 DOI: 10.26599/IJCS.2025.9100005

Hang Liu;Xuan Liu;Baowen Sun;Jiayu Wang

{"title":"On the Determinants of Platform Boundary: A Study from the Perspective of Transaction Cost Theory","authors":"Hang Liu;Xuan Liu;Baowen Sun;Jiayu Wang","doi":"10.26599/IJCS.2025.9100005","DOIUrl":"https://doi.org/10.26599/IJCS.2025.9100005","url":null,"abstract":"In the digital economy era, the rapid expansion of internet platforms has resulted in highly concentrated market structures in online markets, thereby eliciting intensified scrutiny from regulatory authorities. In this paper, we aim to explore the key factors that shape the boundaries of platform firms by extending the transaction cost theory. We first define the boundaries of platform enterprises and provide specific measurement methods for their boundaries. By analyzing the distinctions between platform enterprises and manufacturing firms, we adapt the classical transaction cost theory to identify the key determinants of platform enterprise boundaries across three dimensions: data assets and digital technology, network effects, and organizational models. Finally, we offer policy recommendations to foster the healthy development of the platform economy based on our theoretical analysis. Our study highlights the critical role of platform boundary decisions within the framework of crowd science, as they fundamentally shape how diverse smart entities are coordinated on the platform to impact resource allocation efficiency and market stability.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"9 3","pages":"175-180"},"PeriodicalIF":0.0,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11142636","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144904822","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}

引用次数: 0

Human-Machine Collaboration: Definitions, Models, and Socio-Economic Impacts 人机协作：定义、模型和社会经济影响

International Journal of Crowd Science Pub Date : 2025-08-26 DOI: 10.26599/IJCS.2025.9100004

Jin Sun;Leiju Qiu

{"title":"Human-Machine Collaboration: Definitions, Models, and Socio-Economic Impacts","authors":"Jin Sun;Leiju Qiu","doi":"10.26599/IJCS.2025.9100004","DOIUrl":"https://doi.org/10.26599/IJCS.2025.9100004","url":null,"abstract":"Human-Machine Collaboration (HMC) is a pivotal manifestation of collective intelligence in the digital age, where the synergistic interaction of humans, machines, and physical systems drives socio-economic evolution. This paper redefines HMC through the lens of co-evolution of human and machine capabilities and distributed decision-making, systematically analyzing its development history, collaboration models, and transformative impact on productivity, innovation, and labor markets. This paper believes that human-machine collaboration is the collaborative participation of people and machines in solving problems. It introduces various models of human-machine collaboration from the perspective of automation and autonomy, and discusses the criteria for selecting appropriate models. In terms of economic and social impact, this article first summarizes the existing quantitative measurement methods at the national, regional, and enterprise levels, and discusses the economic impact and impact path of human-machine collaboration from the micro, market, and macro levels of individuals and enterprises. Finally, this paper proposes future research directions, including the improvement of quantitative data of human-machine collaboration, the clarification of the issue of legal responsibility, the formulation of management-level strategies, and indepth research in the fields of medical care, aviation, banking, etc. This paper aims to deepen the understanding of human-machine collaboration and provide reference for future research.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"9 3","pages":"149-163"},"PeriodicalIF":0.0,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11142638","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144904825","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}

引用次数: 0