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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–machineThen, we argue the necessity and urgency of advancing human–machine collaboration in risky decision-makingAfterward, 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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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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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–Robot Collaboration Framework Based on Impedance Control in Robotic Assembly Article

Xingwei Zhao,Yiming Chen,Lu Qian,Bo Tao,Han Ding

Engineering 2023, Volume 30, Issue 11,   Pages 83-92 doi: 10.1016/j.eng.2022.08.022

Abstract:

Human–robot (HR) collaboration (HRC) is an emerging research field because of the complementaryIn the HRC framework, the human is the decision maker, the robot acts as the executor, while the assembly

Keywords： Human–robot collaboration     Impedance control     Robotic assembly    

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Digitalization for supply chain resilience and robustness: The roles of collaboration and formal contracts

Frontiers of Engineering Management   Pages 5-19 doi: 10.1007/s42524-022-0229-x

Abstract: Adopting organizational information processing theory, it proposes the mediating effect of supply chain collaborationResults show that digitalization has a direct effect on supply chain resilience, and supply chain collaborationOur study also indicates a complementary mediating effect of supply chain collaboration on the relationshipFindings reveal the differential roles of digitalization as a technical factor and supply chain collaborationbetween digitalization and supply chain resilience but weaken the relationship between supply chain collaboration

Keywords： digitalization     supply chain     resilience     robustness     collaboration     formal contract    

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Diffusion of municipal wastewater treatment technologies in China: a collaboration network perspective

Yang Li, Lei Shi, Yi Qian, Jie Tang

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 1, doi: 10.1007/s11783-017-0903-0

Abstract: Important projects usually involve central organizations in collaboration.diffusion networks are assortative, and the patterns of diffusion vary across technologies; while the collaborationsince the 2000s. 2) Important projects in technology diffusion usually involve central organizations in collaborationnetworks, but organizations become more central in collaboration by doing circumstantial projects in

Keywords： Innovation diffusion     Collaboration network     Wastewater treatment plant     Complex network     Data driven    

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Study on affecting factors of collaborative product development based on collaboration hierarchy model

ZHANG Xiaodong, LI Yingzi, ZHANG Zhiqiang

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 2,   Pages 210-213 doi: 10.1007/s11465-007-0036-4

Abstract: Aiming at the levels of collaborative degree in web-based product development, a collaboration hierarchyBased on the model, the affecting factors on collaboration levels are analyzed systematically from manyproduct development effectively, and help enterprises find out the critical factors that affect the collaboration

Keywords： development     web-based     business     collaborative     collaboration hierarchy    

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Common biases in client involved decision-making in the AEC industry

Sujesh F. SUJAN, Arto KIVINIEMI, Steve W. JONES, Jacqueline M. WHEATHCROFT, Eilif HJELSETH

Frontiers of Engineering Management 2019, Volume 6, Issue 2,   Pages 221-238 doi: 10.1007/s42524-019-0026-3

Abstract: data in an unstructured manner utilizing participant intuition and experience regarding project level collaboration

Keywords： collaboration     construction industry     social science     decision-making     client     cognitive bias     motivationalbias     holistic analysis     human factor    

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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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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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Gaze Estimation via a Differential Eyes’ Appearances Network with a Reference Grid Article

Song Gu, Lihui Wang, Long He, Xianding He, Jian Wang

Engineering 2021, Volume 7, Issue 6,   Pages 777-786 doi: 10.1016/j.eng.2020.08.027

Abstract:

A person’s eye gaze can effectively express that person’s intentions. Thus, gaze estimation is an important approach in intelligent manufacturing to analyze a person’s intentions. Many gaze estimation methods regress the direction of the gaze by analyzing images of the eyes, also known as eye patches. However, it is very difficult to construct a person-independent model that can estimate an accurate gaze direction for every person due to individual differences. In this paper, we hypothesize that the difference in the appearance of each of a person’s eyes is related to the difference in the corresponding gaze directions. Based on this hypothesis, a differential eyes’ appearances network (DEANet) is trained on public datasets to predict the gaze differences of pairwise eye patches belonging to the same individual. Our proposed DEANet is based on a Siamese neural network (SNNet) framework which has two identical branches. A multi-stream architecture is fed into each branch of the SNNet. Both branches of the DEANet that share the same weights extract the features of the patches; then the features are concatenated to obtain the difference of the gaze directions. Once the differential gaze model is trained, a new person’s gaze direction can be estimated when a few calibrated eye patches for that person are provided. Because personspecific calibrated eye patches are involved in the testing stage, the estimation accuracy is improved. Furthermore, the problem of requiring a large amount of data when training a person-specific model is effectively avoided. A reference grid strategy is also proposed in order to select a few references as some of the DEANet’s inputs directly based on the estimation values, further thereby improving the estimation accuracy. Experiments on public datasets show that our proposed approach outperforms the state-of-theart methods.

Keywords： Gaze estimation     Differential gaze     Siamese neural network     Cross-person evaluations     Human–robot collaboration    

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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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Self-organizing method for collaboration in multi-robot system on basis of balance principle

DONG Yangbin, JIANG Jinping, HE Yan

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 3,   Pages 283-287 doi: 10.1007/s11465-008-0044-z

Abstract: By analyzing the operation characteristics of two subtasks that have resource dependency on each other, this paper demonstrates the impact of progress relation between the two subtasks on the whole task’s progress, and then puts forward a self-organizing principle called balance principle that keeps the individual profit between robots equal. Furthermore, an algorithm is designed for adjusting subtask selection on the basis of this principle. Simulation shows the validity of the algorithm on self-organizing task allocation in a multi-robot system.

Keywords： algorithm     self-organizing principle     validity     Simulation     allocation    

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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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Human-machine augmented intelligence: research and applications Editorial

Jianru XUE, Bin HU, Lingxi LI, Junping ZHANG,jrxue@mail.xjtu.edu.cn,bh@lzu.edu.cn,LL7@iupui.edu,jpzhang@fudan.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 8,   Pages 1139-1141 doi: 10.1631/FITEE.2250000

Abstract: The main idea of human-machine augmented intelligence (HAI) is to adopt the role of humans or to embedRecent existing research activities on HITL-HAI include theories for human-machine collaboration, human-braininterfaces, human-machine coordination and teaming, and advanced perception and smart environments forhuman-machine collaboration.collaboration.
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Title Author Date Type Operation

Challenges of human–machine collaboration in risky decision-making

Journal Article

Artificial intelligence and statistics

Bin YU, Karl KUMBIER

Journal Article

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

Donald KENNEDY, Simon P. PHILBIN

Journal Article

Human–Robot Collaboration Framework Based on Impedance Control in Robotic Assembly

Xingwei Zhao,Yiming Chen,Lu Qian,Bo Tao,Han Ding

Journal Article

Digitalization for supply chain resilience and robustness: The roles of collaboration and formal contracts

Journal Article

Diffusion of municipal wastewater treatment technologies in China: a collaboration network perspective

Yang Li, Lei Shi, Yi Qian, Jie Tang

Journal Article

Study on affecting factors of collaborative product development based on collaboration hierarchy model

ZHANG Xiaodong, LI Yingzi, ZHANG Zhiqiang

Journal Article

Common biases in client involved decision-making in the AEC industry

Sujesh F. SUJAN, Arto KIVINIEMI, Steve W. JONES, Jacqueline M. WHEATHCROFT, Eilif HJELSETH

Journal Article

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

Wei YANG,Can-jun YANG,Ting XU

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

Gaze Estimation via a Differential Eyes’ Appearances Network with a Reference Grid

Song Gu, Lihui Wang, Long He, Xianding He, Jian Wang

Journal Article

Heading toward Artificial Intelligence 2.0

Yunhe Pan

Journal Article

Self-organizing method for collaboration in multi-robot system on basis of balance principle

DONG Yangbin, JIANG Jinping, HE Yan

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

Human-machine augmented intelligence: research and applications

Jianru XUE, Bin HU, Lingxi LI, Junping ZHANG,jrxue@mail.xjtu.edu.cn,bh@lzu.edu.cn,LL7@iupui.edu,jpzhang@fudan.edu.cn

Journal Article