Human–Machine Cooperation Principles to Support Life‐Critical Systems Management

Pacaux‐Lemoine, Marie‐Pierre

doi:10.1002/9781118639351.ch12

Cited by 14 publications

(4 citation statements)

References 31 publications

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“…The method applied in this work has been developed and already used to design cooperation of car and train drivers with embedded assistance systems (e.g. [5], [6]). The method is based on the Human-Machine Cooperation principles, especially on the model of a cooperative agent, defined by two main functions, the Know-How(-to-Operate) (KHO) and the Know-How-to-Cooperate (KHC) [7].…”

Section: Methodsmentioning

confidence: 99%

Cooperative patterns to support Human, Robot and Brain Computer Interface Interactions

Pacaux‐Lemoine

Lauber

Didier

et al. 2022

2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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Brain-Computer Interface technology will be soon available to the general public. It would be to replace or compensate physical disability in the case of handicap. However, it would also be for all people looking for peaceful consciousness, to control environment from no other types of command but directly from the brain. Such a device that could be easily and quickly handled by untrained and novice users has been proposed by Mentalista. The company designed and trained a Brain-Computer Interface and in this paper, we propose a method to identify how such a device may be used to control a robot. The method proposes to identify the cooperative patterns that suit users' states and robot's abilities regarding the environment constraints. The Human-Machine Cooperation principles support the methodological approach.

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Section: Methodsmentioning

confidence: 99%

Cooperative patterns to support Human, Robot and Brain Computer Interface Interactions

Pacaux‐Lemoine

Lauber

Didier

et al. 2022

2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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“…[270] proposed a data-driven approach for estimating the driver's take-over readiness based purely on observable cues from invehicle vision sensors. [271] highlighted the importance of the personalized ADAS. It proposed a method to identify the competence and capacity of the driver and the ADAS that could be used to enhance the reliability, acceptance, and even the attractiveness of the system.…”

Section: A Ddt In Advanced Driver Assistance Systemmentioning

confidence: 99%

Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles

Lou

Xing

et al. 2022

IEEE Trans. Intell. Veh.

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Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving and transportation systems to digitize and synergize connected automated vehicles. However, existing studies focus on the design of the automated vehicle, whereas the digitization of the human driver, who plays an important role in driving, is largely ignored. Furthermore, previous driver-related tasks are limited to specific scenarios and have limited applicability. Thus, a novel concept of a driver digital twin (DDT) is proposed in this study to bridge the gap between existing automated driving systems and fully digitized ones and aid in the development of a complete driving human cyber-physical system (H-CPS). This concept is essential for constructing a harmonious human-centric intelligent driving system that considers the proactivity and sensitivity of the human driver. The primary characteristics of the DDT include multimodal state fusion, personalized modeling, and time variance. Compared with the original DT, the proposed DDT emphasizes on internal personality and capability with respect to the external physiological-level state. This study systematically illustrates the DDT and outlines its key enabling aspects. The related technologies are comprehensively reviewed and discussed with a view to improving them by leveraging the DDT. In addition, the potential applications and unsettled challenges are considered. This study aims to provide fundamental theoretical support to researchers in determining the future scope of the DDT system.

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“…The HMC approach has been designed and applied in several different domains [2], [3] and especially in ground robotics [4]. The main purpose of this approach is to design and use a generic method that supports designers in identifying how the user may cooperate with an assistance system, especially regarding the dynamic selection of suitable adaptive levels of automation [5], whilst improving their performance, safety [6] and their confidence [7].…”

Section: Introductionmentioning

confidence: 99%

Emulated haptic shared control for brain-computer interfaces improves human-robot cooperation

Pacaux‐Lemoine

Habib

Sciacca

et al. 2020

2020 IEEE International Conference on Human-Machine Systems (ICHMS)

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Today, technology provides many ways for humans to exchange their points of view about pretty much everything. Visual, audio and tactile media are most commonly used by humans, and they support communication in such a natural way that we don't even actively think about using them. But what about people who have lost motor or sensory capabilities for whom it is difficult or impossible to control or perceive the output of such technologies? In this case, perhaps the only way to communicate might be to use brain signals directly. The goal of this study is therefore towards providing people with tetraplegia, who may be confined to their room or bed, with a telepresence tool that facilitates the daily interactions so many of us take for granted. In our case, the telepresence tool is a robot that is remotely controlled. It can act as a medium for the user in their everyday life with the design of a virtual link with friends and relatives located in remote rooms or places or with different environments to explore. Therefore, the objective is to design a Human-Machine System that enables the control of a robot using thoughts alone. The technological part is composed of a brain-computer interface and a visual interface to implement an "emulated haptic shared control" of the robot. Shared motion control is implemented between the user and the robot as well as an adaptive function allocation to manage the difficulty of the situation. The control schema that exploits this "emulated haptic feedback" has been designed and evaluated using a Human-Machine Cooperation framework and the benefit of this type of interaction has been evaluated with five participants. Initial results indicate better control and cooperation with the "emulated haptic feedback" than without.

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Human–Machine Cooperation Principles to Support Life‐Critical Systems Management

Cited by 14 publications

References 31 publications

Cooperative patterns to support Human, Robot and Brain Computer Interface Interactions

Cooperative patterns to support Human, Robot and Brain Computer Interface Interactions

Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles

Emulated haptic shared control for brain-computer interfaces improves human-robot cooperation

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