Cognition and Technical Systems: Intelligent Systems
(obligatory for students starting in September)
This course focuses on how cognitive processes, such as perception, attention, learning, memory, decision-making, and action can be used to make technical systems more intelligent. As there are clear similarities to the problems humans face when they interact with their environment, the ideas and models developed in cognitive science and psychology are increasingly being used in the design of intelligent systems. Throughout this course, you will learn about these models and their applications within intelligent systems.
Or, Cognition and Technical Systems: Traffic Psychology
(obligatory for students starting in February)
Traffic Psychology focuses on cognitive processes, such as perception, attention, learning, memory, decision, and action that are used when driving a car. As we discuss the causes of traffic accidents, from fatigue to aging, you will learn how cognitive processes are used in a complex, everyday skill like driving, and how this contributes to our understanding of the fundamental aspects of human cognition.
In this module, you will be introduced to both classical and recent topics in Human-Computer Interaction (HCI). You will cover a wide range of topics, including the foundations of HCI, usability evaluation, information and retrieval, user experience and engagement, learning and change in HCI, designing instructions, individual differences in HCI, and human-robot interaction. As you discuss these issues, you will learn how to apply this knowledge to real design problems and be equipped to create products that best suit the human user’s mind. The course includes a full-day training session in usability testing, a central technique for user-centered design, widely used throughout the industry.
Resilience engineering is a new, innovative way of approaching safety. Instead of studying what went wrong in hindsight, often incorrectly labeled as ‘human error’, resilience engineering focuses on the normal functioning of sociotechnical systems. You will become well-versed in the foundational conceptions and methods developed in areas like cognitive engineering and distributed cognition, focusing on a wide range of topics: situational awareness, skills-rules-knowledge framework, recognition-primed decision-making, team cognition, situated/distributed cognition, and human error models. This course will provide you with in-depth knowledge of current safety science and cognitive systems engineering theories. If you are comfortable with conceptual thinking and have an open, aware, attitude towards interdisciplinary approaches to studying complex problems, this course may well be for you.
Advanced Research Methods for HFE
This course will teach you advanced skills in applied research methods used in the field of Human Factors. These research practices build upon different courses and modules offered in the Bachelor’s and Pre-Master’s curriculum, such as module 6, ‘Human Factors and Engineering Psychology’. You will strongly improve your practical research skills – a value adder for any psychology professional. The course consists of five topics, in which you will practice the specific research methods in realistic scenarios. Depending on the topic, the workshops are a combination of short introductions followed by exercises in which you will analyse, design, conduct or evaluate research. After the workshops, you will deepen your knowledge of a certain research method by studying the underlying literature, and prepare for the exam.
- Learning and Instruction
- Risk and Leadership in Societal and Technological Context
- Design of Persuasive Health Technology
- Cognition and Technical Systems: Traffic Psychology
Learn more about Human Factors & Engineering Psychology