Complex mobile platforms require a number of tasks to be performed during operation, with the need of multiple control stations. This increase the complexity and cost of the platform design and also require multiple people to operate the platform. In addition, the complex tasks increase the cognitive and mental load to the operator effectively in time reducing the productivity and increasing the possibility of human operational errors.
The aim of this project was to investigate novel Human Machine Interface (HMI) solutions, such as controller and sensory input types, for controlling the tasks of complex mobile platforms such as industrial vehicles.
The research conducted a cross-industry background investigation of sensors & data structures and control systems of existing vehicles, and extracted the common functional properties that were used to device a common control station operational requirements. An additional basic level study on Human Factors was conducted to gather relative information on human sensory and cognitive limitations and capabilities.
A novel control station was built with an architecture based on the outputs of the background study, implementing Human Factors aware components to dynamically manage the operator interaction at runtime. The control station included devices to support and demonstrate the advanced human-machine interaction concepts, fully dynamic displays, custom control interfaces, and backend information flow processing and control.