Optimal task allocation in task-agent-control state space

Shraga Shoval; Yoram Koren; Johann Borenstein

Optimal task allocation in task-agent-control state space

Shraga Shoval, Yoram Koren, Johann Borenstein

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

In many advanced man-machine systems, the complexity of the process often exceeds the capability of the human or the machine to deal with certain situations. In such systems, allocation of the process tasks between the human and the machine(s) is important for successful performance. A new method for optimal task allocation and optimal information transfer is suggested. The method utilizes a new TASK-AGENT-CONTROL state space into which tasks are mapped. This space allows the application of network optimization techniques which determines the optimal allocating of the process tasks. The method has been tested in a new traveling aid for the blind called the Navbelt. In this system, task allocation is changed according to the user's individual capabilities, and according to changes in the surroundings.

Original language	English
Title of host publication	Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
Editors	Anon
Pages	27-32
Number of pages	6
State	Published - 1993
Externally published	Yes
Event	Proceedings of 1993 International Conference on Systems, Man and Cybernetics - Le Touquet, Fr Duration: 17 Oct 1993 → 20 Oct 1993

Publication series

Name	Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume	4
ISSN (Print)	0884-3627

Conference

Conference	Proceedings of 1993 International Conference on Systems, Man and Cybernetics
City	Le Touquet, Fr
Period	17/10/93 → 20/10/93

Cite this

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title = "Optimal task allocation in task-agent-control state space",

abstract = "In many advanced man-machine systems, the complexity of the process often exceeds the capability of the human or the machine to deal with certain situations. In such systems, allocation of the process tasks between the human and the machine(s) is important for successful performance. A new method for optimal task allocation and optimal information transfer is suggested. The method utilizes a new TASK-AGENT-CONTROL state space into which tasks are mapped. This space allows the application of network optimization techniques which determines the optimal allocating of the process tasks. The method has been tested in a new traveling aid for the blind called the Navbelt. In this system, task allocation is changed according to the user's individual capabilities, and according to changes in the surroundings.",

author = "Shraga Shoval and Yoram Koren and Johann Borenstein",

year = "1993",

language = "אנגלית",

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series = "Proceedings of the IEEE International Conference on Systems, Man and Cybernetics",

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note = "Proceedings of 1993 International Conference on Systems, Man and Cybernetics ; Conference date: 17-10-1993 Through 20-10-1993",

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Shoval, S, Koren, Y & Borenstein, J 1993, Optimal task allocation in task-agent-control state space. in Anon (ed.), Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, vol. 4, pp. 27-32, Proceedings of 1993 International Conference on Systems, Man and Cybernetics, Le Touquet, Fr, 17/10/93.

Optimal task allocation in task-agent-control state space. / Shoval, Shraga; Koren, Yoram; Borenstein, Johann.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. ed. / Anon. 1993. p. 27-32 (Proceedings of the IEEE International Conference on Systems, Man and Cybernetics; Vol. 4).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - In many advanced man-machine systems, the complexity of the process often exceeds the capability of the human or the machine to deal with certain situations. In such systems, allocation of the process tasks between the human and the machine(s) is important for successful performance. A new method for optimal task allocation and optimal information transfer is suggested. The method utilizes a new TASK-AGENT-CONTROL state space into which tasks are mapped. This space allows the application of network optimization techniques which determines the optimal allocating of the process tasks. The method has been tested in a new traveling aid for the blind called the Navbelt. In this system, task allocation is changed according to the user's individual capabilities, and according to changes in the surroundings.

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Optimal task allocation in task-agent-control state space

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Publication series

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