People Education Research Industrial Agenda  
Overview MSc info MSc program MSc topics ET TN WBMT  

WB2404: Man-machine systems
Responsible Instructor: J.C.F. de Winter
Contact Hours / Week x/x/x/x: 0/4/0/0
Education Period: 2
Start Education: 2
Exam Period: 2, 3
Course Language: English
Course Contents:
The following topics are covered
- History and scope of human-machine systems research (pre-WW2 era, knobs and dials, borrowed engineering models, human-computer interaction)
- Manual control versus supervisory control
- Information-processing concepts (mental workload, vigilance, situation awareness, stimulus-response compatibility)
- Automation (function allocation, misuse/disuse/abuse of automation, ironies of automation, stages and levels of automation, adaptive automation)
- Human error and accidents (person model versus system model)
- Simulation and training (simulator fidelity, perception, learning theories, transfer of learning, augmented feedback, research articles)
Examples will be provided from domains such as car driving, shipping, aviation, medicine, and process control.
The course will feature a guest lecture from a specialist in the field.
Study Goals: The student should be able to
- provide definitions of the key topics of the course
- explain the historic trends in human-machine systems research, and explain shifts in research emphasis (e.g., from behaviorism to cognitive engineering).
- explain and reflect on the differences between manual control and supervisory control
- explain how humans can benefit from automation, but also explain the disadvantages of automation; explain how automation does not merely supplant but changes human activity, and explain how automation leads to out-of-the-loop problems.
- explain how dynamic/adaptive automation works
- eplain how automation design decisions affect performance and safety
- classify different forms of human error
- reflect on different human error models (person model versus system model, probabilistic risk assessment)
- explain how human skills develop, and explain how feedback influences skill acquisition
- explain how simulator fidelity and training effectiveness of simulators can be assessed
Education Method: Lectures (4 hours per week)
Each year an excursion will be held to a research centre or industrial plant to show some of the items discussed during this course.
A written assignment has to be completed on an individual basis.
Literature and Study Materials: Slides and notes of the lectures, and scientific articles will be made available on Blackboard.
Assessment: Closed-book written exam (50% open questions, 50% multiple choice questions)
The grade of the assignment counts for 25% of the final grade (75% exam, 25% assignment). The assignment has to be completed satisfactorily (grade 5.5 or higher).
Last modified: 6 November 2013, 15:25 UTC
Search   Site map