The Experts below are selected from a list of 186 Experts worldwide ranked by ideXlab platform
Gunnar Johannsen - One of the best experts on this subject based on the ideXlab platform.
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Theoretical problems in Man-Machine Systems and their experimental validation
Automatica, 1994Co-Authors: Gunnar Johannsen, Alexander H. Levis, Henk G. StassenAbstract:This paper focuses on the main theoretical issues in today's Man-Machine Systems research and applications. The following problem areas are discussed: (1) modeling huMan perforMance and mental workload describing the state of the art as well as major methodological difficulties; (2) task allocation and decision support with emphasis on huMan-centered perspective on cooperative problem solving, integrated automation, and distributed decision-making in teams; (3) Man-Machine interfaces, outlining some presentation and dialogue issues; (4) design problems, stressing the need for early active participation of Man-Machine Systems specialists, and the usefulness of guidelines; and, finally, (5) evaluation and experimental validation, with focus on laboratory and field evaluations, experimental design and validation, as well as model-driven experimentation. The importance of Man-Machine Systems contributions to the design of better technical Systems and their user acceptability is emphasized. © 1994.
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Towards a new quality of automation in complex Man-Machine Systems
Automatica, 1992Co-Authors: Gunnar JohannsenAbstract:Supervisory control of dynamic technical Systems can be changed towards a new quality of automation and cooperative Man-Machine decision making. This will be achieved by using technologies of knowledge-based support Systems and cognitive engineering. HuMan-centred design approaches are needed for building such advanced automation Systems for process supervision and control. Appropriate function and task allocations between huMan operators and computers as well as between computer control and computer support have to be found. A conceptual structure and a mathematical framework for describing the huMan-automation synergism in future technical Systems are proposed in this paper. The conceptual structure differentiates between the general task categories of controlling and problem solving for both huMan and automation. It is further based on the structure of an extended User Interface Management System (UIMS) which suggests a separation into presentation, dialogue, user or operator model, application model, and tasks to be performed. HuMan operator behaviour, supervision and control, decision support (both application and operator oriented), and Man-Machine interfaces (with presentation and dialogue) are related to each other on different levels. Four examples from recent projects demonstrate the applicability of the huMan-centred approach towards advanced automation. Heuristic control of industrial processes as well as diagnosis of causes of technical failures in power plants are explained as examples for application oriented functionalities. HuMan error detection and flexible automation in aircraft guidance as well as procedural support for information search are described as possibilities for huMan operator oriented support. ?? 1992.
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Theoretical Problems in Man-Machine Systems and their Experimental Validation
IFAC Proceedings Volumes, 1992Co-Authors: Gunnar Johannsen, Alexander H. Levis, Henk G. StassenAbstract:Abstract This survey paper focusses on the main theoretical issues in today’s Man-Machine Systems research and applications. The following problem areas are discussed: (1) modelling huMan perforMance and mental workload, with identifying the state of the art as well as major methodological difficulties; (2) task allocation and decision support, with a huMan-centred perspective on cooperative problem solving, integrated automation, and distributed decision making in teams; (3) Man-Machine interfaces, with outlining some presentation and dialogue issues; (4) design problems, with stressing the need of early active participation of Man-Machine-Systems specialists and the usefulness of guidelines; and, finally, (5) evaluation and experimental validation, with covering laboratory and field evaluations, with covering laboratory and field evaluations, experimental design and validation, as well as model-driven experimentation. The importance of Man-Machine-Systems contributions to the design of better technical Systems and their user acceptability is emphasised.
Henk G. Stassen - One of the best experts on this subject based on the ideXlab platform.
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Theoretical problems in Man-Machine Systems and their experimental validation
Automatica, 1994Co-Authors: Gunnar Johannsen, Alexander H. Levis, Henk G. StassenAbstract:This paper focuses on the main theoretical issues in today's Man-Machine Systems research and applications. The following problem areas are discussed: (1) modeling huMan perforMance and mental workload describing the state of the art as well as major methodological difficulties; (2) task allocation and decision support with emphasis on huMan-centered perspective on cooperative problem solving, integrated automation, and distributed decision-making in teams; (3) Man-Machine interfaces, outlining some presentation and dialogue issues; (4) design problems, stressing the need for early active participation of Man-Machine Systems specialists, and the usefulness of guidelines; and, finally, (5) evaluation and experimental validation, with focus on laboratory and field evaluations, experimental design and validation, as well as model-driven experimentation. The importance of Man-Machine Systems contributions to the design of better technical Systems and their user acceptability is emphasized. © 1994.
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Theoretical Problems in Man-Machine Systems and their Experimental Validation
IFAC Proceedings Volumes, 1992Co-Authors: Gunnar Johannsen, Alexander H. Levis, Henk G. StassenAbstract:Abstract This survey paper focusses on the main theoretical issues in today’s Man-Machine Systems research and applications. The following problem areas are discussed: (1) modelling huMan perforMance and mental workload, with identifying the state of the art as well as major methodological difficulties; (2) task allocation and decision support, with a huMan-centred perspective on cooperative problem solving, integrated automation, and distributed decision making in teams; (3) Man-Machine interfaces, with outlining some presentation and dialogue issues; (4) design problems, with stressing the need of early active participation of Man-Machine-Systems specialists and the usefulness of guidelines; and, finally, (5) evaluation and experimental validation, with covering laboratory and field evaluations, with covering laboratory and field evaluations, experimental design and validation, as well as model-driven experimentation. The importance of Man-Machine-Systems contributions to the design of better technical Systems and their user acceptability is emphasised.
Alexander H. Levis - One of the best experts on this subject based on the ideXlab platform.
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Theoretical problems in Man-Machine Systems and their experimental validation
Automatica, 1994Co-Authors: Gunnar Johannsen, Alexander H. Levis, Henk G. StassenAbstract:This paper focuses on the main theoretical issues in today's Man-Machine Systems research and applications. The following problem areas are discussed: (1) modeling huMan perforMance and mental workload describing the state of the art as well as major methodological difficulties; (2) task allocation and decision support with emphasis on huMan-centered perspective on cooperative problem solving, integrated automation, and distributed decision-making in teams; (3) Man-Machine interfaces, outlining some presentation and dialogue issues; (4) design problems, stressing the need for early active participation of Man-Machine Systems specialists, and the usefulness of guidelines; and, finally, (5) evaluation and experimental validation, with focus on laboratory and field evaluations, experimental design and validation, as well as model-driven experimentation. The importance of Man-Machine Systems contributions to the design of better technical Systems and their user acceptability is emphasized. © 1994.
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Theoretical Problems in Man-Machine Systems and their Experimental Validation
IFAC Proceedings Volumes, 1992Co-Authors: Gunnar Johannsen, Alexander H. Levis, Henk G. StassenAbstract:Abstract This survey paper focusses on the main theoretical issues in today’s Man-Machine Systems research and applications. The following problem areas are discussed: (1) modelling huMan perforMance and mental workload, with identifying the state of the art as well as major methodological difficulties; (2) task allocation and decision support, with a huMan-centred perspective on cooperative problem solving, integrated automation, and distributed decision making in teams; (3) Man-Machine interfaces, with outlining some presentation and dialogue issues; (4) design problems, with stressing the need of early active participation of Man-Machine-Systems specialists and the usefulness of guidelines; and, finally, (5) evaluation and experimental validation, with covering laboratory and field evaluations, with covering laboratory and field evaluations, experimental design and validation, as well as model-driven experimentation. The importance of Man-Machine-Systems contributions to the design of better technical Systems and their user acceptability is emphasised.
Kuei-yuan Chan - One of the best experts on this subject based on the ideXlab platform.
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compensating for operational uncertainty in Man Machine Systems a case study on intelligent vehicle parking assist system
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B: Mechanical Engineering, 2015Co-Authors: Kuei-yuan ChanAbstract:The successful operation of Man–Machine Systems requires consistent huMan operation and reliable Machine perforMance. Machine reliability has received numerous improvements, whereas huMan-related operational uncertainty is an area of increasing research interest. Most studies and formal documentation only provide suggestions for alleviating huMan uncertainty instead of providing specific methods to ensure operation accuracy in real-time. This paper presents a general framework for a reliable system that compensates for huMan-operating uncertainty during operation. This system learns the response of the user, constructs the user’s behavior pattern, and then creates compensated instructions to ensure the completion of the desired tasks, thus improving the reliability of the Man–Machine system. The proposed framework is applied to the development of an intelligent vehicle parking assist system. Existing parking assist Systems do not account for driver error, nor do they consider realistic urban parking space...
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Compensating for Operational Uncertainty in Man–Machine Systems: A Case Study on Intelligent Vehicle Parking Assist System
ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg, 2015Co-Authors: Kuei-yuan ChanAbstract:The successful operation of Man–Machine Systems requires consistent huMan operation and reliable Machine perforMance. Machine reliability has received numerous improvements, whereas huMan-related operational uncertainty is an area of increasing research interest. Most studies and formal documentation only provide suggestions for alleviating huMan uncertainty instead of providing specific methods to ensure operation accuracy in real-time. This paper presents a general framework for a reliable system that compensates for huMan-operating uncertainty during operation. This system learns the response of the user, constructs the user’s behavior pattern, and then creates compensated instructions to ensure the completion of the desired tasks, thus improving the reliability of the Man–Machine system. The proposed framework is applied to the development of an intelligent vehicle parking assist system. Existing parking assist Systems do not account for driver error, nor do they consider realistic urban parking spaces with obstacles. The proposed system computes a theoretical path once a parking space is identified. Audio comMands are then sent to the driver with real-time compensation to minimize deviations from the path. When an operation is too far away from the desired path to be compensated, a new set of instructions is computed based on the collected uncertainty. Tests with various real-world urban parking scenarios indicated that there is a possibility to park a vehicle with a space that is as small as 1.07 times the vehicle length with up to 30% uncertainty. Results also show that the compensation scheme allows diverse operators to reliably achieve a desired goal.
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Compensating for Operational Uncertainty in Man-Machine Systems: A Case Study on Intelligent Vehicle Parking Assist
Volume 1A: 34th Computers and Information in Engineering Conference, 2014Co-Authors: Kuei-yuan ChanAbstract:Successful executions of Man-Machine Systems require consistent huMan operations and reliable Machine perforMances. Compared with the abundant resources on Machine reliability improvements, huMan-related operational uncertainty that has direct impacts on Man-Machine Systems received little attention. Most studies and formal documentations only provide suggestions to alleviate huMan uncertainty instead of providing specific methods to ensure operation accuracy in real time. In this paper we present a general framework of a reliable system that compensates for huMan operating uncertainty in realtime. This system learns the response of an operator, constructs the user’s behavior pattern, and then develop new compensated instructions to ensure the completion of the desired tasks, hereby improve the reliability of the entire Man-Machine Systems. The effectiveness of the proposed framework is demonstrated via the development of an intelligent vehicle parking assist. Existing parking assist Systems do not account for drivers’ error; neither do these Systems consider realistic urban parking spaces with obstacles. Our proposed system computes a theoretical path once a parking space is identified. Audio comMands are then sent to the driver with realtime compensation for a minimal deviations from the path. When an operation is too far away from the desired path to be compensated, new set of instructions will be recomputed with the collected uncertainty. Various real-world urban parking scenarios are used to demonstrate the effectiveness of the proposed method. Our system is able to park a vehicle with a space that is as small as 1.07 times the vehicle length with up to 30% uncertainty. Results also show that the compensation scheme not only allows more diverse operators to achieve a desired goal, but also ensures a higher reliability of meeting such goals.
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compensating for operational uncertainty in Man Machine Systems a case study on intelligent vehicle parking assist
ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 2014Co-Authors: Kuei-yuan ChanAbstract:Successful executions of Man-Machine Systems require consistent huMan operations and reliable Machine perforMances. Compared with the abundant resources on Machine reliability improvements, huMan-related operational uncertainty that has direct impacts on Man-Machine Systems received little attention. Most studies and formal documentations only provide suggestions to alleviate huMan uncertainty instead of providing specific methods to ensure operation accuracy in real time. In this paper we present a general framework of a reliable system that compensates for huMan operating uncertainty in realtime. This system learns the response of an operator, constructs the user’s behavior pattern, and then develop new compensated instructions to ensure the completion of the desired tasks, hereby improve the reliability of the entire Man-Machine Systems. The effectiveness of the proposed framework is demonstrated via the development of an intelligent vehicle parking assist. Existing parking assist Systems do not account for drivers’ error; neither do these Systems consider realistic urban parking spaces with obstacles. Our proposed system computes a theoretical path once a parking space is identified. Audio comMands are then sent to the driver with realtime compensation for a minimal deviations from the path. When an operation is too far away from the desired path to be compensated, new set of instructions will be recomputed with the collected uncertainty. Various real-world urban parking scenarios are used to demonstrate the effectiveness of the proposed method. Our system is able to park a vehicle with a space that is as small as 1.07 times the vehicle length with up to 30% uncertainty. Results also show that the compensation scheme not only allows more diverse operators to achieve a desired goal, but also ensures a higher reliability of meeting such goals.Copyright © 2014 by ASME
Igor Petukhov - One of the best experts on this subject based on the ideXlab platform.
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Application of virtual reality technologies in training of Man-Machine system operators
2017 International Conference on Information Science and Communications Technologies (ICISCT), 2017Co-Authors: Igor Petukhov, Luydmila Steshina, Andrey GlazyrinAbstract:The paper presents an overview of contemporary approaches to application of virtual reality Systems for training of operating personnel for Man-Machine Systems. Special emphases are made on application issues of virtual and alternate reality Systems connected with probable cognitive dissonance in operation of real physical objects. The prospects of virtual reality application in professional training are outlined.
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decision support system for assessment of vocational aptitude of Man Machine Systems operators
IEEE International Conference on Intelligent Systems, 2016Co-Authors: Igor Petukhov, Luydmila Steshina, Pavel Kurasov, Ilya TanryverdievAbstract:The purpose of the paper is to develop methodological bases for assessing vocational aptitude of huMan-operators of Man-Machine Systems. The model of vocational aptitude and the process of decision-making in the class of hierarchical Systems were developed based on the hierarchy analysis method. The experimental research of vocational aptitude assessment for operators of transport-technological Machines was carried out. As a result, it became possible to reduce the preparation cost of professionals and to raise the level of operators professional skills.
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IEEE Conf. on Intelligent Systems - Decision support system for assessment of vocational aptitude of Man-Machine Systems operators
2016 IEEE 8th International Conference on Intelligent Systems (IS), 2016Co-Authors: Igor Petukhov, Luydmila Steshina, Pavel Kurasov, Ilya TanryverdievAbstract:The purpose of the paper is to develop methodological bases for assessing vocational aptitude of huMan-operators of Man-Machine Systems. The model of vocational aptitude and the process of decision-making in the class of hierarchical Systems were developed based on the hierarchy analysis method. The experimental research of vocational aptitude assessment for operators of transport-technological Machines was carried out. As a result, it became possible to reduce the preparation cost of professionals and to raise the level of operators professional skills.
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assessment of vocational aptitude of Man Machine Systems operators
International Conference on Human System Interactions, 2014Co-Authors: Igor Petukhov, Liudmila SteshinaAbstract:The paper offers the model of an operator's vocational aptitude by way of the multiconnected system of professionally important qualities. The decision on the level of vocational aptitude is made by the of decision-making support system on the basis of fuzzy logic using the Mamdani algorithm. This results in the integrated assessment of vocational aptitude and an individual portrait of the level of development of professionally important qualities, which is used for working out the individual program of Man-Machine Systems operators training. The system under discussion has been tested on operators of transport-technological Machines.
