151-3205-00L Experimental Ergonomics
Semester | Autumn Semester 2016 |
Lecturers | J. Held |
Periodicity | yearly recurring course |
Language of instruction | English |
Comment | Number of participants limited to 15. |
Abstract | You will learn how to apply the scientific discipline of ergonomics for system analysis and product development "in order to optimise human well-being and overall system performance" (Link). The course offers the framework of models, concepts, methods and tools of applied ergonomics. Teaching is combined with learning-by-doing and research-based learning. |
Objective | Knowledge of: - Principles and rules of applied ergonomic system and product design. - Methods and tools of ergonomic analysis and evaluation. Practical experiences and hands-on skills in: - Conducting a study in system and task analysis. - Analysing human-product interactions. - Applying ergonomic knowledge for product and system improvements. |
Content | - Definition and role of applied ergonomics in engineering and design. - Framework of ergonomic analysis and design. - Design principles and rules. - Methods and tools for system and task analysis. Hands-on experience in team work: - Experimental study of human-product interaction and usability through eye-tracking - Field study of system and task analysis, including on-site visits of complex work stations (Hospital OR/ICU or Air traffic/Railway Control Rooms). |
Lecture notes | Handout at the start of the course. |
Literature | Ahlstrom, V. and Longo, V. (2003). Human Factors Design Standard (HFDS). Link Wiklund M.E., Wilcox, S.B. (2005). Designing Usability into Medical Products. Taylor & Francis. Rubin, J. and Chisnell, D. (2008). Handbook of Usability Testing: How to Plan, Design and Conduct Effective Tests. Wiley. Hölscher, U., Laurig, W. & Müller-Arnecke, H.W. (2008). Prinziplösungen zur ergonomischen Gestaltung von Medizingeräten. BAUA Forschung Projekt F1902. Link Niku, S.B. (2009). Creative Design of Products and Systems (Chapter 8). Wiley. |
Prerequisites / Notice | Max. number of participants is 15. Experiments and field studies in teams of 2-3 students are obligatory. |