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Challenges of human–machine collaboration in risky decision-making

Frontiers of Engineering Management 2022, Volume 9, Issue 1,   Pages 89-103 doi: 10.1007/s42524-021-0182-0

Abstract: The purpose of this paper is to delineate the research challenges of human–machine collaboration in riskyTechnological advances in machine intelligence have enabled a growing number of applications in human–machineTherefore, it is desirable to achieve superior performance by fully leveraging human and machine capabilitiesAfterward, we review the literature on human–machine collaboration in a general decision context, fromthe perspectives of human–machine organization, relationship, and collaboration.

Keywords： human–machine collaboration     risky decision-making     human–machine team and interaction     task allocation     human–machine relationship    

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The imperative need to develop guidelines to manage human versus machine intelligence

Donald KENNEDY, Simon P. PHILBIN

Frontiers of Engineering Management 2018, Volume 5, Issue 2,   Pages 182-194 doi: 10.15302/J-FEM-2018085

Abstract: Machine intelligence is increasingly entering roles that were until recently dominated by human intelligenceTherefore, this research explores the emerging area of human versus machine decision-making.An illustrative engineering case involving a joint machine and human decision-making system is presentedWe offer that the speed at which new human-machine interactions are being encountered by engineeringHuman-machine systems are becoming pervasive yet this research has revealed that current technological

Keywords： human intelligence & machine intelligence     HI-MI     decision-making     artificial intelligence    

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Human hip joint center analysis for biomechanical design of a hip joint exoskeleton Article

Wei YANG,Can-jun YANG,Ting XU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 8,   Pages 792-802 doi: 10.1631/FITEE.1500286

Abstract: The approach is based on mechanisms designed to follow the natural trajectories of the human hip as theThe resulting design can reduce human-machine interaction forces by 24.1% and 76.0% during hip flexion

Keywords： Hip joint exoskeleton     Hip joint center     Compatible joint     Human-machine interaction force    

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Machine learning-based seismic assessment of framed structures with soil-structure interaction

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 2,   Pages 205-223 doi: 10.1007/s11709-022-0909-y

Abstract: The objective of the current study is to propose an expert system framework based on a supervised machineto predict the seismic performance of low- to mid-rise frame structures considering soil-structure interaction

Keywords： seismic hazard     artificial neural network     soil-structure interaction     seismic analysis    

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Parallel cognition: hybrid intelligence for human-machine interaction and management Research Article

Peijun YE, Xiao WANG, Wenbo ZHENG, Qinglai WEI, Fei-Yue WANG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12,   Pages 1765-1779 doi: 10.1631/FITEE.2100335

Abstract: models are sometimes not applicable in cyber-physical-social-systems (CPSSs), where the large number of humanTo reduce the decision-making conflicts between people and machines in human-centered systems, we proposecognitive visual reasoning, indicate that our parallel cognition learning is effective and feasible for human, and can thus facilitate human-machine cooperation in both complex engineering and social systems.

Keywords： Cognitive learning     Artificial intelligence     Behavioral prescription    

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The Group Interaction Field for Learning and Explaining Pedestrian Anticipation

Xueyang Wang,Xuecheng Chen,Puhua Jiang,Haozhe Lin,Xiaoyun Yuan,Mengqi Ji,Yuchen Guo,Ruqi Huang,Lu Fang,

Engineering doi: 10.1016/j.eng.2023.05.020

Abstract: Here, we propose the group interaction field (GIF), a novel group-aware representation that quantifiesGIFNet quantifies the influence of group behaviors by formulating a group interaction graph with propagationand graph attention that is adaptive to the group size and dynamic interaction states.The proposed GIF will eventually be able to allow unmanned systems to work in a human-like manner andcomply with social norms, thereby promoting harmonious human–machine relationships.

Keywords： Human behavior modeling and prediction     Implicit representation of pedestrian anticipation     Group interaction    

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Physical human-robot interaction estimation based control scheme for a hydraulically actuated exoskeleton None

Yi LONG, Zhi-jiang DU, Wei-dong WANG, Long HE, Xi-wang MAO, Wei DONG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 9,   Pages 1076-1085 doi: 10.1631/FITEE.1601667

Abstract:

We proposed a lower extremity exoskeleton for power amplification that perceives intended human motionvia humanexoskeleton interaction signals measured by biomedical or mechanical sensors, and estimateshuman gait trajectories to implement corresponding actions quickly and accurately.interaction (pHRI) torque information directly.Simultaneously, the mapping from the pHRI torque to the human gait trajectory is defined.

Keywords： Exoskeleton     Physical human-robot interaction     Torque sensor     Human gait     Kalman smoother    

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Development trend of urban design in “digital age”: Pan-dimensionality and individual-ubiquity

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 569-575 doi: 10.1007/s11709-021-0735-7

Abstract: The result of this evolution is “digital urban design paradigm based on human-computer interaction”,

Keywords： digital age     urban design     multiple objectives     human-computer interaction     pan-dimensionality     individual-ubiquity    

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Modeling and simulating the impact of forgetting and communication errors on delays in civil infrastructure shutdowns

Zhe SUN, Cheng ZHANG, Pingbo TANG

Frontiers of Engineering Management 2021, Volume 8, Issue 1,   Pages 109-121 doi: 10.1007/s42524-019-0084-6

Abstract: Handoff processes during civil infrastructure operations are transitions between sequential tasks. Typical handoffs constantly involve cognitive and communication activities among operations personnel, as well as traveling activities. Large civil infrastructures, such as nuclear power plants (NPPs), provide critical services to modern cities but require regular or unexpected shutdowns (i.e., outage) for maintenance. Handoffs during such an outage contain interwoven workflows and communication activities that pose challenges to the cognitive and communication skills of handoff participants and constantly result in delays. Traveling time and changing field conditions bring additional challenges to effective coordination among multiple groups of people. Historical NPP records studied in this research indicate that even meticulous planning that takes six months before each outage could hardly guarantee sufficient back-up plans for handling various unexpected events. Consequently, delays frequently occur in NPP outages and bring significant socioeconomic losses. A synthesis of previous studies on the delay analysis of accelerated maintenance schedules revealed the importance and challenges of handoff modeling. However, existing schedule representation methods could hardly represent the interwoven communication, cognitive, traveling, and working processes of multiple participants collaborating on completing scheduled tasks. Moreover, the lack of formal models that capture how cognitive, waiting, traveling, and communication issues affect outage workflows force managers to rely on personal experiences in diagnosing delays and coordinating multiple teams involved in outages. This study aims to establish formal models through agent-based simulation to support the analytical assessment of outage schedules with full consideration of cognitive and communication factors involved in handoffs within the NPP outage workflows. Simulation results indicate that the proposed handoff modeling can help predict the impact of cognitive and communication issues on delays propagating throughout outage schedules. Moreover, various activities are fully considered, including traveling between workspaces and waiting. Such delay prediction capability paves the path toward predictive and resilience outage control of NPPs.

Keywords： NPP outage     human error     team cognition     handoff modeling    

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Artificial intelligence and statistics Perspective

Bin YU, Karl KUMBIER

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1,   Pages 6-9 doi: 10.1631/FITEE.1700813

Abstract: It calls for the application of statistical concepts through human-machine collaboration during the generationThis paper discusses how such human-machine collaboration can be approached through the statistical conceptsThe PQRS workflow provides a conceptual framework for integrating statistical ideas with human input

Keywords： Artificial intelligence     Statistics     Human-machine collaboration    

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Autonomous flying blimp interaction with human inan indoor space None

Ning-shi YAO, Qiu-yang TAO, Wei-yu LIU, Zhen LIU, Ye TIAN, Pei-yu WANG, Timothy LI, Fumin ZHANG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 1,   Pages 45-59 doi: 10.1631/FITEE.1800587

Abstract: interaction experiments in an indoor space for up to two hours.It is able to detect the face of a human subject, follow the human, and recognize hand gestures.A human-robot interaction procedure is designed and tested with various human users.The blimp communicates its intentions to the human user by displaying visual symbols.user significantly improves the interactive experience between blimp and human.

Keywords： Robotic blimp     Human-robot interaction     Deep learning     Face detection     Gesture recognition    

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Real-time Gaze Tracking System Based on Dual Illuminators

Huang Ying,Wang Zhiliang,Qi Ying

Strategic Study of CAE 2008, Volume 10, Issue 2,   Pages 86-90

Abstract: A human- computer interaction application proves that the system can estimate the user's gaze direction

Keywords： human-computer interaction     gaze tracking     Purkinje image    

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Mutually trustworthy human-machine knowledge automation and hybrid augmented intelligence: mechanisms Research Article

Fei-Yue WANG, Jianbo GUO, Guangquan BU, Jun Jason ZHANG,jun.zhang.ee@whu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 8,   Pages 1142-1157 doi: 10.1631/FITEE.2100418

Abstract: We describe the historical development of complex system science and analyze the limitations of humanintelligence and machine intelligence.The need for using human-machine HAI in is then explained in detail.

Keywords： Complex systems     Human-machine knowledge automation     Parallel systems     Bulk power grid dispatch     Artificialintelligence    

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Heading toward Artificial Intelligence 2.0

Yunhe Pan

Engineering 2016, Volume 2, Issue 4,   Pages 409-413 doi: 10.1016/J.ENG.2016.04.018

Abstract: in size of the information community, and interlinking and fusion of data and information throughout human

Keywords： Artificial intelligence 2.0     Big data     Crowd intelligence     Cross-media     Human-machine     hybrid-augmented     intelligence    

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Humans are Not Machines—Anthropocentric Human–Machine Symbiosis for Ultra-Flexible Smart Manufacturing

Yuqian Lu, Juvenal Sastre Adrados, Saahil Shivneel Chand, Lihui Wang

Engineering 2021, Volume 7, Issue 6,   Pages 734-737 doi: 10.1016/j.eng.2020.09.018

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Title Author Date Type Operation

Challenges of human–machine collaboration in risky decision-making

Journal Article

The imperative need to develop guidelines to manage human versus machine intelligence

Donald KENNEDY, Simon P. PHILBIN

Journal Article

Human hip joint center analysis for biomechanical design of a hip joint exoskeleton

Wei YANG,Can-jun YANG,Ting XU

Journal Article

Machine learning-based seismic assessment of framed structures with soil-structure interaction

Journal Article

Parallel cognition: hybrid intelligence for human-machine interaction and management

Peijun YE, Xiao WANG, Wenbo ZHENG, Qinglai WEI, Fei-Yue WANG

Journal Article

The Group Interaction Field for Learning and Explaining Pedestrian Anticipation

Xueyang Wang,Xuecheng Chen,Puhua Jiang,Haozhe Lin,Xiaoyun Yuan,Mengqi Ji,Yuchen Guo,Ruqi Huang,Lu Fang,

Journal Article

Physical human-robot interaction estimation based control scheme for a hydraulically actuated exoskeleton

Yi LONG, Zhi-jiang DU, Wei-dong WANG, Long HE, Xi-wang MAO, Wei DONG

Journal Article

Development trend of urban design in “digital age”: Pan-dimensionality and individual-ubiquity

Journal Article

Modeling and simulating the impact of forgetting and communication errors on delays in civil infrastructure shutdowns

Zhe SUN, Cheng ZHANG, Pingbo TANG

Journal Article

Artificial intelligence and statistics

Bin YU, Karl KUMBIER

Journal Article

Autonomous flying blimp interaction with human inan indoor space

Ning-shi YAO, Qiu-yang TAO, Wei-yu LIU, Zhen LIU, Ye TIAN, Pei-yu WANG, Timothy LI, Fumin ZHANG

Journal Article

Real-time Gaze Tracking System Based on Dual Illuminators

Huang Ying,Wang Zhiliang,Qi Ying

Journal Article

Mutually trustworthy human-machine knowledge automation and hybrid augmented intelligence: mechanisms

Fei-Yue WANG, Jianbo GUO, Guangquan BU, Jun Jason ZHANG,jun.zhang.ee@whu.edu.cn

Journal Article

Heading toward Artificial Intelligence 2.0

Yunhe Pan

Journal Article

Humans are Not Machines—Anthropocentric Human–Machine Symbiosis for Ultra-Flexible Smart Manufacturing

Yuqian Lu, Juvenal Sastre Adrados, Saahil Shivneel Chand, Lihui Wang

Journal Article