A multiplicative human steering control model

Martinez-Garcia, Miguel and Gordon, Timothy (2017) A multiplicative human steering control model. In: 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 5 - 8 Oct 2017, Banff, Canada.

Documents
29048 08123158.pdf
[img]
[Download]
[img]
Preview
PDF
29048 08123158.pdf - Whole Document

744kB
Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive

Abstract

A non-linear, yet simple, multiplicative human-control model is developed by studying the statistical properties of human subjects’ motor response to a visual input; statistical analysis of the magnitude of the steering angle, from subjects performing a tracking task with a steering wheel, shows that the data is consistent with a log-normal distribution. Thus the possibility of modelling human-control as a multiplicative process, that replicates the statistical properties found in the human-operator is considered. The proposed multiplicative controller is contrasted with real data and with the Crossover Model. This research has potential applications in a wide range of fields, from human performance modelling to the development of human-machine interfaces, particularly in the application of ground vehicle automation.

Keywords:man-machine systems, human-control, Human performance, Driver behaviour, Applied mathematics, Steering angle measurement, Shared autonomy, Autonomous Vehicles
Subjects:H Engineering > H131 Automated Engineering Design
H Engineering > H660 Control Systems
G Mathematical and Computer Sciences > G440 Human-computer Interaction
H Engineering > H672 Cybernetics
G Mathematical and Computer Sciences > G120 Applied Mathematics
Divisions:College of Science > School of Engineering
Related URLs:
ID Code:29048
Deposited On:10 Oct 2017 11:54

Repository Staff Only: item control page