Theintegration of human factors into artificial intelligence(AI)systems has emerged as a critical research frontier,particularly in reinforcement learning(RL),where human-AI interaction(HAII)presents both opportunitie...Theintegration of human factors into artificial intelligence(AI)systems has emerged as a critical research frontier,particularly in reinforcement learning(RL),where human-AI interaction(HAII)presents both opportunities and challenges.As RL continues to demonstrate remarkable success in model-free and partially observable environments,its real-world deployment increasingly requires effective collaboration with human operators and stakeholders.This article systematically examines HAII techniques in RL through both theoretical analysis and practical case studies.We establish a conceptual framework built upon three fundamental pillars of effective human-AI collaboration:computational trust modeling,system usability,and decision understandability.Our comprehensive review organizes HAII methods into five key categories:(1)learning from human feedback,including various shaping approaches;(2)learning from human demonstration through inverse RL and imitation learning;(3)shared autonomy architectures for dynamic control allocation;(4)human-in-the-loop querying strategies for active learning;and(5)explainable RL techniques for interpretable policy generation.Recent state-of-the-art works are critically reviewed,with particular emphasis on advances incorporating large language models in human-AI interaction research.To illustrate some concepts,we present three detailed case studies:an empirical trust model for farmers adopting AI-driven agricultural management systems,the implementation of ethical constraints in roboticmotion planning through human-guided RL,and an experimental investigation of human trust dynamics using a multi-armed bandit paradigm.These applications demonstrate how HAII principles can enhance RL systems’practical utility while bridging the gap between theoretical RL and real-world human-centered applications,ultimately contributing to more deployable and socially beneficial intelligent systems.展开更多
TEAM CHINA中国国家队特许上海旗舰店位于新晋潮流街区永源路。项目在当代语境中诠释体育精神,将国家队的热血与荣耀同上海的城市脉动紧密相连,让空间化身为体育文化与都市生活交融的场所。从国家队的品牌视觉资产出发,设计师提炼并塑...TEAM CHINA中国国家队特许上海旗舰店位于新晋潮流街区永源路。项目在当代语境中诠释体育精神,将国家队的热血与荣耀同上海的城市脉动紧密相连,让空间化身为体育文化与都市生活交融的场所。从国家队的品牌视觉资产出发,设计师提炼并塑造出“红色能量带”这一空间符号。灵感源自延绵的赛道、律动的心率和竞技体育的起伏征程。这条“红带”从街区延伸至店内,在空间中自然流淌,它既是展览装置,又是陈列载体,构建出空间的视觉主线与动线导引。展开更多
Faculty development serves as a critical foundation for ensuring the quality of higher education.To meet the needs of cultivating specialized software talents and promoting teaching reform,it is particularly crucial t...Faculty development serves as a critical foundation for ensuring the quality of higher education.To meet the needs of cultivating specialized software talents and promoting teaching reform,it is particularly crucial to build a faculty team with knowledge in industry application fields and experience in domestic software development.This paper first analyzes the new requirements for the faculty imposed by the cultivation of specialized software talents and the existing problems in the current faculty.Then,in response to these issues,it introduces the reforms and explorations carried out by the School of Software Engineering at Beijing Jiaotong University in the construction of the faculty for cultivating specialized software talents.The aim is to build a high-caliber and diversified faculty that boasts strong political qualities,interdisciplinary integration,complementary advantages between full-time and part-time faculty,and in-depth integration of industry and education.展开更多
Transparency is a widely used but poorly defined term within the explainable artificial intelligence literature.This is due,in part,to the lack of an agreed definition and the overlap between the connected—sometimes ...Transparency is a widely used but poorly defined term within the explainable artificial intelligence literature.This is due,in part,to the lack of an agreed definition and the overlap between the connected—sometimes used synonymously—concepts of interpretability and explainability.We assert that transparency is the overarching concept,with the tenets of interpretability,explainability,and predictability subordinate.We draw on a portfolio of definitions for each of these distinct concepts to propose a human-swarm-teaming transparency and trust architecture(HST3-Architecture).The architecture reinforces transparency as a key contributor towards situation awareness,and consequently as an enabler for effective trustworthy human-swarm teaming(HST).展开更多
This study explores the impact of human-AI collaborative teaching strategies on English teachers in secondary schools.Based on semi-structured interviews with five English teachers in Jiangxi Province,thematic analysi...This study explores the impact of human-AI collaborative teaching strategies on English teachers in secondary schools.Based on semi-structured interviews with five English teachers in Jiangxi Province,thematic analysis was conducted using the SAMR,UTAUT,and GHEX-IPACK theoretical frameworks.The findings indicate that AI technology is primarily applied in scenarios such as resource generation,assignment distribution,and learning analytics.By substituting traditional tools,enhancing teaching interactions,and reconstructing instructional processes,AI facilitates a shift in teaching strategies from“teacher-led”to“human-AI collaboration”.Teachers generally recognized the potential of this model for improving efficiency and supporting personalized learning,but also pointed out challenges,including data bias,hardware limitations,and a lack of emotional interaction.The study suggests that achieving deep human-AI collaboration requires balancing technological efficacy with humanistic care relying on blended instructional design and teacher training to optimize teachers’knowledge structures.This research preliminary constructs a practical model of human-AI collaboration in secondary school English education,providing insights for teacher professional development.展开更多
Objective:Interpersonal brain synchronization(IBS)has emerged as a significant concept in understanding collaborative team dynamics,with functional near-infrared spectroscopy(fNIRS)proving to be a vital tool in its as...Objective:Interpersonal brain synchronization(IBS)has emerged as a significant concept in understanding collaborative team dynamics,with functional near-infrared spectroscopy(fNIRS)proving to be a vital tool in its assessment.This review aims to collate and analyze the literature on the application of fNIRS in various team settings,emphasizing its potential utility in surgical environments.Methods:A thorough search and screening process across multiple databases resulted in 17 studies being reviewed,with a focus on the utilization of fNIRS to measure IBS in different collaborative tasks.This review examined the tasks employed,participant demographics,organizational structures of teams,methodologies for IBS measurement,and correlations between brain synchronization and behavioral measurements.Results:fNIRS emerged as a non-invasive,cost-effective,and portable tool,predominantly used to assess IBS in pair-based tasks with a variety of participant demographics.Wavelet transform coherence was the primary method used for measuring synchronization,particularly in the prefrontal brain region.A consistent correlation was found between increased brain synchronization and enhanced team performance,underscoring the potential of fNIRS in understanding and optimizing team dynamics.Conclusion:This review establishes fNIRS as a promising tool for investigating the neural mechanisms underlying team cooperation,providing invaluable insights for potential applications in surgical settings.While acknowledging the limitations in the current literature,the review highlights the need for further research with larger sample sizes and varied task complexities to solidify the understanding of IBS and its impact on team performance.The ultimate goal is to leverage fNIRS in assessing and improving surgical team dynamics,contributing to improved patient outcomes and safety.展开更多
This article comments on the research by Zhang et al on the role of advanced heart failure and transplant teams in extracorporeal membrane oxygenation(ECMO)management.The study by Zhang et al indicates that direct adv...This article comments on the research by Zhang et al on the role of advanced heart failure and transplant teams in extracorporeal membrane oxygenation(ECMO)management.The study by Zhang et al indicates that direct advanced heart failure and transplant involvement improves survival in ECMO patients,especially those on veno-arterial ECMO.However,the optimal approach varies due to multiple factors.This article discusses the clinical implications,research design limitations,and future directions to enhance ECMO care.展开更多
Against the background of the in-depth reform of vocational education,the construction of“dual-qualification and dual-competence”teaching teams has become increasingly prominent as a core link to promote the in-dept...Against the background of the in-depth reform of vocational education,the construction of“dual-qualification and dual-competence”teaching teams has become increasingly prominent as a core link to promote the in-depth development of industry-education integration and improve the quality of technical and skilled talent training.Due to its strong practical characteristics,the nursing major has higher requirements for teachers’“dual-qualification and dual-competence”(systematic theoretical teaching ability and clinical practical operation ability).Taking the Innovation Team for Education and Teaching of Nursing Professional Group of Guangzhou Huanan Business College as the research object,this paper systematically analyzes the practical paths constructed by the team in the construction of“dual-qualification and dual-competence”,such as the“internal training and external introduction”teacher optimization mechanism,the“school-hospital collaboration”practical training platform,and the“quantitative+qualitative”evaluation system.It also deeply discusses the structural contradictions faced in the construction process and the breakthrough strategies.The purpose is to provide a referenceable and promotable practical model for the construction of teaching staff in higher vocational nursing majors and contribute to the high-quality development of vocational education.展开更多
The rapid integration of artificial intelligence(AI)into software development,driven by large language models(LLMs),is reshaping the role of programmers from traditional coders into strategic collaborators within Indu...The rapid integration of artificial intelligence(AI)into software development,driven by large language models(LLMs),is reshaping the role of programmers from traditional coders into strategic collaborators within Industry 4.0 ecosystems.This qualitative study employs a hermeneutic phenomenological approach to explore the lived experiences of Information Technology(IT)professionals as they navigate a dynamic technological landscape marked by intelligent automation,shifting professional identities,and emerging ethical concerns.Findings indicate that developers are actively adapting to AI-augmented environments by engaging in continuous upskilling,prompt engineering,interdisciplinary collaboration,and heightened ethical awareness.However,participants also voiced growing concerns about the reliability and security of AI-generated code,noting that these tools can introduce hidden vulnerabilities and reduce critical engagement due to automation bias.Many described instances of flawed logic,insecure patterns,or syntactically correct but contextually inappropriate suggestions,underscoring the need for rigorous human oversight.Additionally,the study reveals anxieties around job displacement and the gradual erosion of fundamental coding skills,particularly in environments where AI tools dominate routine development tasks.These findings highlight an urgent need for educational reforms,industry standards,and organizational policies that prioritize both technical robustness and the preservation of human expertise.As AI becomes increasingly embedded in software engineering workflows,this research offers timely insights into how developers and organizations can responsibly integrate intelligent systems to promote accountability,resilience,and innovation across the software development lifecycle.展开更多
Objective: To explore the effectiveness of applying an infusion project team in the safety risk management of indwelling needle use. Methods: A total of 200 patients who used intravenous indwelling needles during hosp...Objective: To explore the effectiveness of applying an infusion project team in the safety risk management of indwelling needle use. Methods: A total of 200 patients who used intravenous indwelling needles during hospital treatment from July to October 2022 were selected and randomly divided into an observation group and a control group, with 100 patients in each group. Patients in the control group received routine nursing methods, while those in the observation group were managed using the safety risk management method of the infusion project team. The tube blocking rate and tube removal rate were compared between the two groups. Results: The one-time puncture success rate and the standard implementation rate of intravenous indwelling needle use in the observation group were significantly higher than those in the control group. The total incidence of complications in the observation group was significantly lower than that in the control group, and patient satisfaction in the observation group was notably higher, with statistically significant differences (P < 0.05). Conclusion: The application of an infusion project team in the safety risk management of indwelling needle use is effective and has positive impacts on improving the one-time puncture success rate, the standard implementation rate of intravenous indwelling needle use, and patient satisfaction. It is a practice worth promoting in clinical settings.展开更多
Objective:To explore the experiences of palliative care multidisciplinary teams from the perspective of pluralistic synergy theory,aiming to enhance team collaboration.Method:Utilizing a qualitative research methodolo...Objective:To explore the experiences of palliative care multidisciplinary teams from the perspective of pluralistic synergy theory,aiming to enhance team collaboration.Method:Utilizing a qualitative research methodology,we conducted in-depth interviews with 15 palliative care team members to collect data.Results:The operational framework of palliative care multidisciplinary teams under pluralistic synergy theory involves:enhancing collaboration among team members;developing a comprehensive management model for the team;rationalizing the allocation of work tasks and durations;improving team communication and interaction through effective communication mechanisms and platforms;cultivating skilled professionals;and establishing a robust health record management system.Conclusion:The operational mechanism,informed by pluralistic synergy theory,advances the development of palliative care.展开更多
Under the background of training practical compound talents in software engineering,this paper analyzes the problems existing in the current teaching of software engineering courses represented by software project man...Under the background of training practical compound talents in software engineering,this paper analyzes the problems existing in the current teaching of software engineering courses represented by software project management,puts forward the team task mechanism of software engineering courses with AI empowerment and cooperation and competition,develops a unified project management platform to support the implementation of team tasks,and proves the effectiveness of the scheme through the results obtained.展开更多
基金funded by the U.S.Department of Education under Grant Number ED#P116S210005the National Science Foundation under Grant Numbers 2226936 and 2420405.
文摘Theintegration of human factors into artificial intelligence(AI)systems has emerged as a critical research frontier,particularly in reinforcement learning(RL),where human-AI interaction(HAII)presents both opportunities and challenges.As RL continues to demonstrate remarkable success in model-free and partially observable environments,its real-world deployment increasingly requires effective collaboration with human operators and stakeholders.This article systematically examines HAII techniques in RL through both theoretical analysis and practical case studies.We establish a conceptual framework built upon three fundamental pillars of effective human-AI collaboration:computational trust modeling,system usability,and decision understandability.Our comprehensive review organizes HAII methods into five key categories:(1)learning from human feedback,including various shaping approaches;(2)learning from human demonstration through inverse RL and imitation learning;(3)shared autonomy architectures for dynamic control allocation;(4)human-in-the-loop querying strategies for active learning;and(5)explainable RL techniques for interpretable policy generation.Recent state-of-the-art works are critically reviewed,with particular emphasis on advances incorporating large language models in human-AI interaction research.To illustrate some concepts,we present three detailed case studies:an empirical trust model for farmers adopting AI-driven agricultural management systems,the implementation of ethical constraints in roboticmotion planning through human-guided RL,and an experimental investigation of human trust dynamics using a multi-armed bandit paradigm.These applications demonstrate how HAII principles can enhance RL systems’practical utility while bridging the gap between theoretical RL and real-world human-centered applications,ultimately contributing to more deployable and socially beneficial intelligent systems.
文摘Faculty development serves as a critical foundation for ensuring the quality of higher education.To meet the needs of cultivating specialized software talents and promoting teaching reform,it is particularly crucial to build a faculty team with knowledge in industry application fields and experience in domestic software development.This paper first analyzes the new requirements for the faculty imposed by the cultivation of specialized software talents and the existing problems in the current faculty.Then,in response to these issues,it introduces the reforms and explorations carried out by the School of Software Engineering at Beijing Jiaotong University in the construction of the faculty for cultivating specialized software talents.The aim is to build a high-caliber and diversified faculty that boasts strong political qualities,interdisciplinary integration,complementary advantages between full-time and part-time faculty,and in-depth integration of industry and education.
基金United States Office of Naval Research-Global(ONR-G)(N629091812140)。
文摘Transparency is a widely used but poorly defined term within the explainable artificial intelligence literature.This is due,in part,to the lack of an agreed definition and the overlap between the connected—sometimes used synonymously—concepts of interpretability and explainability.We assert that transparency is the overarching concept,with the tenets of interpretability,explainability,and predictability subordinate.We draw on a portfolio of definitions for each of these distinct concepts to propose a human-swarm-teaming transparency and trust architecture(HST3-Architecture).The architecture reinforces transparency as a key contributor towards situation awareness,and consequently as an enabler for effective trustworthy human-swarm teaming(HST).
基金supported by the Jinan University Teaching Research Project:Investigation and Path Optimization of Teachers’Lesson Planning Model Based on the“Human-AI Collaborative Workflow”,the 2025 Special Project for Quality Improvement and Upgrading Reform of Experimental Teaching at Jinan University(Project No.:82625039)the Higher Education Special Program of Guangdong Provincial Education Science Planning Project(Project No.:2023GXJK233).
文摘This study explores the impact of human-AI collaborative teaching strategies on English teachers in secondary schools.Based on semi-structured interviews with five English teachers in Jiangxi Province,thematic analysis was conducted using the SAMR,UTAUT,and GHEX-IPACK theoretical frameworks.The findings indicate that AI technology is primarily applied in scenarios such as resource generation,assignment distribution,and learning analytics.By substituting traditional tools,enhancing teaching interactions,and reconstructing instructional processes,AI facilitates a shift in teaching strategies from“teacher-led”to“human-AI collaboration”.Teachers generally recognized the potential of this model for improving efficiency and supporting personalized learning,but also pointed out challenges,including data bias,hardware limitations,and a lack of emotional interaction.The study suggests that achieving deep human-AI collaboration requires balancing technological efficacy with humanistic care relying on blended instructional design and teacher training to optimize teachers’knowledge structures.This research preliminary constructs a practical model of human-AI collaboration in secondary school English education,providing insights for teacher professional development.
文摘Objective:Interpersonal brain synchronization(IBS)has emerged as a significant concept in understanding collaborative team dynamics,with functional near-infrared spectroscopy(fNIRS)proving to be a vital tool in its assessment.This review aims to collate and analyze the literature on the application of fNIRS in various team settings,emphasizing its potential utility in surgical environments.Methods:A thorough search and screening process across multiple databases resulted in 17 studies being reviewed,with a focus on the utilization of fNIRS to measure IBS in different collaborative tasks.This review examined the tasks employed,participant demographics,organizational structures of teams,methodologies for IBS measurement,and correlations between brain synchronization and behavioral measurements.Results:fNIRS emerged as a non-invasive,cost-effective,and portable tool,predominantly used to assess IBS in pair-based tasks with a variety of participant demographics.Wavelet transform coherence was the primary method used for measuring synchronization,particularly in the prefrontal brain region.A consistent correlation was found between increased brain synchronization and enhanced team performance,underscoring the potential of fNIRS in understanding and optimizing team dynamics.Conclusion:This review establishes fNIRS as a promising tool for investigating the neural mechanisms underlying team cooperation,providing invaluable insights for potential applications in surgical settings.While acknowledging the limitations in the current literature,the review highlights the need for further research with larger sample sizes and varied task complexities to solidify the understanding of IBS and its impact on team performance.The ultimate goal is to leverage fNIRS in assessing and improving surgical team dynamics,contributing to improved patient outcomes and safety.
基金Supported by National Natural Science Foundation of China,No.82200353Jiangsu Province Double Innovation Doctoral Program,No.JSSCBS20221948+3 种基金Suzhou Gusu Health Talent Program,No.(2022)043Suzhou Gusu Health Talent Plan Talent Research Project,No.GSWS2022014Jiangsu Province College Students’Innovation and Entrepreneurship Training Program Project,No.202410285087Zand“Boxi”Talent Casting Plan of the First Affiliated Hospital of Soochow University。
文摘This article comments on the research by Zhang et al on the role of advanced heart failure and transplant teams in extracorporeal membrane oxygenation(ECMO)management.The study by Zhang et al indicates that direct advanced heart failure and transplant involvement improves survival in ECMO patients,especially those on veno-arterial ECMO.However,the optimal approach varies due to multiple factors.This article discusses the clinical implications,research design limitations,and future directions to enhance ECMO care.
基金Guangzhou Huanan Business College,Innovation Team for Education and Teaching of Nursing Professional Group(Project No.:2022HMZLGC09)。
文摘Against the background of the in-depth reform of vocational education,the construction of“dual-qualification and dual-competence”teaching teams has become increasingly prominent as a core link to promote the in-depth development of industry-education integration and improve the quality of technical and skilled talent training.Due to its strong practical characteristics,the nursing major has higher requirements for teachers’“dual-qualification and dual-competence”(systematic theoretical teaching ability and clinical practical operation ability).Taking the Innovation Team for Education and Teaching of Nursing Professional Group of Guangzhou Huanan Business College as the research object,this paper systematically analyzes the practical paths constructed by the team in the construction of“dual-qualification and dual-competence”,such as the“internal training and external introduction”teacher optimization mechanism,the“school-hospital collaboration”practical training platform,and the“quantitative+qualitative”evaluation system.It also deeply discusses the structural contradictions faced in the construction process and the breakthrough strategies.The purpose is to provide a referenceable and promotable practical model for the construction of teaching staff in higher vocational nursing majors and contribute to the high-quality development of vocational education.
文摘The rapid integration of artificial intelligence(AI)into software development,driven by large language models(LLMs),is reshaping the role of programmers from traditional coders into strategic collaborators within Industry 4.0 ecosystems.This qualitative study employs a hermeneutic phenomenological approach to explore the lived experiences of Information Technology(IT)professionals as they navigate a dynamic technological landscape marked by intelligent automation,shifting professional identities,and emerging ethical concerns.Findings indicate that developers are actively adapting to AI-augmented environments by engaging in continuous upskilling,prompt engineering,interdisciplinary collaboration,and heightened ethical awareness.However,participants also voiced growing concerns about the reliability and security of AI-generated code,noting that these tools can introduce hidden vulnerabilities and reduce critical engagement due to automation bias.Many described instances of flawed logic,insecure patterns,or syntactically correct but contextually inappropriate suggestions,underscoring the need for rigorous human oversight.Additionally,the study reveals anxieties around job displacement and the gradual erosion of fundamental coding skills,particularly in environments where AI tools dominate routine development tasks.These findings highlight an urgent need for educational reforms,industry standards,and organizational policies that prioritize both technical robustness and the preservation of human expertise.As AI becomes increasingly embedded in software engineering workflows,this research offers timely insights into how developers and organizations can responsibly integrate intelligent systems to promote accountability,resilience,and innovation across the software development lifecycle.
文摘Objective: To explore the effectiveness of applying an infusion project team in the safety risk management of indwelling needle use. Methods: A total of 200 patients who used intravenous indwelling needles during hospital treatment from July to October 2022 were selected and randomly divided into an observation group and a control group, with 100 patients in each group. Patients in the control group received routine nursing methods, while those in the observation group were managed using the safety risk management method of the infusion project team. The tube blocking rate and tube removal rate were compared between the two groups. Results: The one-time puncture success rate and the standard implementation rate of intravenous indwelling needle use in the observation group were significantly higher than those in the control group. The total incidence of complications in the observation group was significantly lower than that in the control group, and patient satisfaction in the observation group was notably higher, with statistically significant differences (P < 0.05). Conclusion: The application of an infusion project team in the safety risk management of indwelling needle use is effective and has positive impacts on improving the one-time puncture success rate, the standard implementation rate of intravenous indwelling needle use, and patient satisfaction. It is a practice worth promoting in clinical settings.
文摘Objective:To explore the experiences of palliative care multidisciplinary teams from the perspective of pluralistic synergy theory,aiming to enhance team collaboration.Method:Utilizing a qualitative research methodology,we conducted in-depth interviews with 15 palliative care team members to collect data.Results:The operational framework of palliative care multidisciplinary teams under pluralistic synergy theory involves:enhancing collaboration among team members;developing a comprehensive management model for the team;rationalizing the allocation of work tasks and durations;improving team communication and interaction through effective communication mechanisms and platforms;cultivating skilled professionals;and establishing a robust health record management system.Conclusion:The operational mechanism,informed by pluralistic synergy theory,advances the development of palliative care.
文摘Under the background of training practical compound talents in software engineering,this paper analyzes the problems existing in the current teaching of software engineering courses represented by software project management,puts forward the team task mechanism of software engineering courses with AI empowerment and cooperation and competition,develops a unified project management platform to support the implementation of team tasks,and proves the effectiveness of the scheme through the results obtained.
