Print Email Facebook Twitter Manual control cybernetics Title Manual control cybernetics: State-of-the-art and current trends Author Mulder, Max (TU Delft Control & Operations) Pool, D.M. (TU Delft Control & Simulation) Abbink, D.A. (TU Delft Human-Robot Interaction) Boer, E.R. (TU Delft Human-Robot Interaction) Zaal, P.M.T. (TU Delft Control & Simulation; San José State University) Drop, F.M. (TU Delft Control & Simulation) van der El, Kasper (TU Delft Control & Simulation) van Paassen, M.M. (TU Delft Control & Simulation) Department Control & Operations Date 2017 Abstract Manual control cybernetics aims to understand and describe how humans control vehicles and devices using mathematical models of human control dynamics. This “cybernetic approach” enables objective and quantitative comparisons of human behavior, and allows a systematic optimization of human control interfaces and training associated with manual control. Current cybernetics theory is primarily based on technology and analysis methods formalized in the 1960s and has shown to be limited in its capability to capture the full breadth of human cognition and control. This paper reviews the current state-of-the-art in our knowledge of human manual control, points out the main fundamental limitations in cybernetics, and proposes a possible roadmap to advance the theory and its applications. Central in this roadmap will be a shift from the current linear time-invariant modeling approach that is only truly valid for human behavior under tightly controlled and stationary conditions, to methods that facilitate the analysis of adaptive, and possibly time-varying, human behavior in realistic control tasks. Examples of key current developments in the field of cybernetics—human use of preview, predictable discrete maneuvering, skill acquisition and training, time-varying human modeling, and neuromuscular system modeling—that contribute to this shift are presented in this paper. The new foundations for cybernetics that will emerge from these efforts will impact all domains that involve humans in manual and semiautomatic control. Subject Adaptation modelsControl systemsCyberneticsdynamic behaviorHuman factorsman–machine systemsmanual controlmodelingOrganizationsVisual perception To reference this document use: http://resolver.tudelft.nl/uuid:537bdc24-9b7c-49f8-996a-2616d79d1340 DOI https://doi.org/10.1109/THMS.2017.2761342 ISSN 2168-2291 Source IEEE Transactions on Human-Machine Systems, 48 (2018) (5), 468-485 Part of collection Institutional Repository Document type journal article Rights © 2017 Max Mulder, D.M. Pool, D.A. Abbink, E.R. Boer, P.M.T. Zaal, F.M. Drop, Kasper van der El, M.M. van Paassen Files PDF manual_control_cybernetic ... _final.pdf 2.63 MB Close viewer /islandora/object/uuid:537bdc24-9b7c-49f8-996a-2616d79d1340/datastream/OBJ/view