Fundamental issues in manual control cybernetics

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Abstract

Manual control cybernetics aims to understand and describe how humans control vehicles and devices, such that more effective human-machine interfaces can be designed. Current cybernetics theory is primarily based on technology and analysis methods developed in the 1960s and has shown to be limited in its capability to capture the full breadth of human cognition and control. This paper summarizes some of the main fundamental limitations in cybernetics and provides a possible road-map to advance the theory and its applications. Central in this agenda will be a shift from the current linear time-invariant modeling approach, to the use of linear parameter-varying system models. Recent progress in identification methods of these latter models may allow us, for the first time, to mathematically model and identify time-varying, adaptive human control, opening up many opportunities to systematically optimize our human control interfaces and training. New foundations for cybernetics will impact all domains that involve humans in manual and semi-automatic control.
Original languageEnglish
Title of host publicationIFAC-PapersOnLine
Subtitle of host publication13th IFAC Symposium on Analysis, Design, and Evaluation ofHuman-Machine Systems HMS 2016
EditorsT. Sawaragi
Place of PublicationLaxenburg, Austria
PublisherElsevier
Pages1-6
Volume49
Edition19
DOIs
Publication statusPublished - 2016
Event13th IFAC Symposium on Analysis, Design, and Evaluation of Human-Machine Systems - Kyoto, Japan
Duration: 30 Aug 20162 Sep 2016

Publication series

NameIFAC-PapersOnLine
PublisherIFAC-Elsevier
Number19
Volume49
ISSN (Electronic)2405-8963

Conference

Conference13th IFAC Symposium on Analysis, Design, and Evaluation of Human-Machine Systems
Abbreviated titleHMS 2016
CountryJapan
CityKyoto
Period30/08/162/09/16

Keywords

  • cybernetics
  • manual control
  • dynamic behaviour
  • modeling

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