Modelling and identification of eye–hand dynamics

Alexik, Mikulas

doi:10.1016/s0928-4869(00)00010-0

Cited by 16 publications

(8 citation statements)

References 2 publications

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“…Examples of behaviour simulated as a conventional control loop are eye-hand coordination in vehicle control (e.g., [38]) and interactive compensation of machine behaviour by McRuer [39]. In McRuer's loop, a machine reacts to human input and to external disturbances that are to be compensated by the human.…”

Section: Simulation Of Continuous Control Behaviour Of Artefacts and mentioning

confidence: 99%

Achieving Closed‐Loop Control Simulation of Human‐Artefact Interaction: A Comparative Review

Vegte

Horváth

2011

Modelling and Simulation in Engineering

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To include user interactions in simulations of product use, the most common approach is to couple human subjects to simulation models, using hardware interfaces to close the simulation-control loop. Testing with virtual human models could offer a lowcost addition to evaluation with human subjects. This paper explores the possibilities for coupling human and artefact models to achieve fully software-based interaction simulations. We have critically reviewed existing partial solutions to simulate or execute control (both human control and product-embedded control) and compared solutions from literature with a proof-of-concept we have recently developed. Our concept closes all loops, but it does not rely on validated algorithms to predict human decision making and low-level human motor control. For low-level control, validated solutions are available from other approaches. For human decision making, however, validated algorithms exist only to predict the timing but not the reasoning behind it. To identify decision-making schemes beyond what designers can conjecture, testing with human subjects remains indispensable.

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Section: Simulation Of Continuous Control Behaviour Of Artefacts and mentioning

confidence: 99%

Achieving Closed‐Loop Control Simulation of Human‐Artefact Interaction: A Comparative Review

Vegte

Horváth

2011

Modelling and Simulation in Engineering

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“…It is note that authors of works on mathematical modeling concern seldom questions of adequacy of the constructed mathematical description of process to real measurements [2][3][4][5]. Sometimes, such adequacy is proved by the real facts; sometimes, authors refer to results of other authors; and sometimes, there have not been any arguments.…”

Section: Preliminary Definitionmentioning

confidence: 99%

“…In the given work, the mathematical models of physical processes described only by the system of the ordinary differential equations will be examined [2,3]. Such idealization of real processes or dynamic systems is widely used in various areas for the description of control systems [11], as well as of mechanical systems with the concentrated parameters [5,12], economic processes [13], biological processes [14], ecological processes [15], etc.…”

Section: Preliminary Definitionmentioning

confidence: 99%

Criteria for Adequacy Estimation of Mathematical Descriptions of Physical Processes

Menshikov¹

2020

Computational Models in Engineering

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In this chapter, adequacy estimation criteria for mathematical descriptions in the form of ordinary differential equations were proposed. Adequate mathematical descriptions can increase the objectivity of the results of mathematical modeling for future use. These descriptions make it possibly reasonable to use the results of mathematical modeling to optimize and predict the behavior of physical processes. Interrelations between criteria are considered. The proposed criteria are easily transferred on mathematical descriptions in algebraic form.

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“…We distinguish models that are based on (i) conventional control loops and (ii) neural nets. Examples of behavior simulated as a conventional control loop are eye-hand coordination in vehicle control [39] and interactive compensation of machine behavior by McRuer [40]. In McRuer's loop, the machine reacts to human input and to external disturbances that the human needs to compensate.…”

Section: 1mentioning

confidence: 99%

Including Human Behavior in Product Simulations for the Investigation of Use Processes in Conceptual Design: A Survey

Vegte

́th

2006

Volume 3: 26th Computers and Information in Engineering Conference

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In this paper, approaches for behavioral simulation of humans and human-artifact systems are reviewed The objective was to explore available knowledge for the development of a new method and system for the simulation of use processes of consumer durables in conceptual design. A key issue is to resolve the trade-off between minimizing the modeling and computing effort on the one hand, and maximizing the amount of valuable information obtained from simulations to facilitate improving the product. After drawing up review criteria, we reviewed existing simulation approaches, which we characterized based on the simulation models. We found that the surveyed approaches can only address limited, largely unconnected subsets of the various behaviors that can be simulated. For the most advanced approaches, the subsets can be clustered into three main groups: (i) kinematics and rigid-body kinetics simulated with non-discretized object models, (ii) mechanical-deformation behavior and non-mechanical physical behavior simulated with discretized object models and (iii) interpreted physical behavior (information processing) simulated with finite-state machines. No clear-cut solutions for integrated behavioral simulation of use processes have been found, however, we could identify opportunities to bridge the gaps between the three groups of behavior, which can help us to resolve the aforementioned trade-off. In the first place, it seems that the possibilities for using discretized models in kinematics simulation (especially with consideration of the large deformations that are common in biomechanics) have not been fully explored. Alternatively, a completely new uniform modeling paradigm, possibly based on particles, might also help to resolve the gap between the two distinct groups of physical behaviors. Finally, hybrid simulation techniques can bridge the gap between the observed physical behaviors and interpreted physical behaviors. Here, the combination with the object models commonly used for simulations in group (i) and (ii) seems to be largely unexplored. Our findings offered valuable insights as a starting point for developing an integrated method and system for modeling and simulating use processes. We expect that other researchers dealing with similar issues in combining seemingly disconnected simulation approaches could benefit as well.

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Modelling and identification of eye–hand dynamics

Cited by 16 publications

References 2 publications

Achieving Closed‐Loop Control Simulation of Human‐Artefact Interaction: A Comparative Review

Achieving Closed‐Loop Control Simulation of Human‐Artefact Interaction: A Comparative Review

Criteria for Adequacy Estimation of Mathematical Descriptions of Physical Processes

Including Human Behavior in Product Simulations for the Investigation of Use Processes in Conceptual Design: A Survey

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