Kies de Nederlandse taal
Course module: 202200073
Training, Sensors and Simulation
Course info
Course module202200073
Credits (ECTS)5
Course typeCourse
Language of instructionDutch
Contact personM. Schmettow
PreviousNext 1
dr. R.W. Chan
dr. M. Groenier
dr. R.H.J. van der Lubbe
M. Schmettow
Contactperson for the course
M. Schmettow
Academic year2022
Starting block
Application procedure-
Registration using OSIRISYes
  1. Acquire knowledge on the role of Human Factors research in the medical domain.
  2. Acquire skills in the field of Neuro Ergonomics and Physical Ergonomics.
  3. Acquire and practice technical skills.
  4. Practice collaboration in development teams.
  5. Practice independent problem solving.
  6. Practice professional communication with experts and stakeholders
This challenge-driven course prepares students for the practical application of training methods and technology-driven research methods in safety-critical domains such as road traffic, air traffic control, cancer detection or surgery. In these areas, safety is highly dependent on human reliability, with the consequence that training and assessing operators is also a specific task for human factors specialists. During the course, students will become familiar with one core domain of Human Factors and their current research problems, for example the AI-supported analysis of medical image data, the optimization of simulator-based training for surgery, the design of virtual assistants, or the use of Virtual Reality for evaluating novel designs.

Students work on one project in groups of three. The starting point of the project is a problem in a specific domain (e.g. driver training, surgery training, intelligent agents). The challenge is to produce a solution to this problem, with eclectic use of simulator or sensor technology.

The learning process is divided in five phases:
  1. Challenge presentation: The stakeholder(s) presents the domain, in which a real problem unfolds, for which a (partial) solution is sought.
  2. Background knowledge: Students acquire the specific methodological and development skills required for the present case. This is achieved by a mix of workshops and lectures.
  3. Ideation: Students approach the problem from various sides (literature, stakeholder, experts) and develop a project idea.
  4. Strategy: Students develop a strategy to implement their project idea. The result is a project plan, which describes a useful idea and a feasible way to implement it out of own strengths. The project plan is a binding agreement between teacher and a group of students and lays ground for the assessment.
  5. Implementation: This phase is purely defined by stages of the agreed project plan. During this phase, students are the driving force of their projects, supported by a coach and a group of subject matter experts
The course ends with a symposium, where students present their results.

In 2022/2023, the stakeholder is Marleen Groenier (TechMed). Possible challenge will evolve around the application of (neuro)ergonomic and biomechanic principles to improve assessment and training for minimally invasive surgery.
Assumed previous knowledge
Programming skills in R and Python
Participating study
Master Psychology
Required materials
Recommended materials
Instructional modes
Presence dutyYes

Self study with assistance
Presence dutyYes

Presence dutyYes

Test 1

Kies de Nederlandse taal