Michael Siegrist: Catalogue data in Spring Semester 2021

Name Prof. Dr. Michael Siegrist
FieldConsumer Behavior
Address
Institut für Umweltentscheidungen
ETH Zürich, CHN J 76.3
Universitätstrasse 16
8092 Zürich
SWITZERLAND
Telephone+41 44 632 63 21
E-mailmichael.siegrist@hest.ethz.ch
DepartmentHealth Sciences and Technology
RelationshipFull Professor

NumberTitleECTSHoursLecturers
376-1178-00LHuman Factors II3 credits2VM. Menozzi Jäckli, R. Huang, M. Siegrist
AbstractStrategies, abilities and needs of human at work as well as properties of products and systems are factors controlling quality and performance in everyday interactions. In Human Factors II (HF II), cognitive aspects are in focus therefore complementing the more physical oriented approach in HF I. A basic scientific approach is adopted and relevant links to practice are illustrated.
ObjectiveThe goal of the lecture is to empower students in designing products and systems enabling an efficient and qualitatively high standing interaction between human and the environment, considering costs, benefits, health, well-being, and safety as well. The goal is achieved in addressing a broad variety of topics and embedding the discussion in macroscopic factors such as the behavior of consumers and objectives of economy.
ContentCognitive factors in perception, information processing and action. Experimental techniques in assessing human performance and well-being, human factors and ergonomics in development of products and complex systems, innovation, decision taking, consumer behavior and user experience.
Literature- Salvendy G. (ed), Handbook of Human Factors, Wiley & Sons, 2012
- Stanton N.A. et al., Cognitive Work Analysis, CRC Press, 2017
- Further textbooks are introduced in the lecture
701-0721-AALPsychology
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
3 credits6RM. Siegrist
AbstractThis is an introductory course in psychology. This course will emphasize cognitive psychology and the psychological experiment.
ObjectiveKnowledge of key concepts and exemplary theories of psychology and their relation to "daily" psychology. Comprehension of relation between theory and experiment in psychology.

Goals: Learning how psychologists are thinking, a side change from the ETH natural science perspective to psychological thinking.

Domains of psychology:
- Psychology fields
- Concept definitions of psychology
- Theories of psychology
- Methods of psychology
- Results of psychology

Capability:
Be able to define a psychological research question
Basics understanding of role of psychology

Comprehension:
Psychology as a science of experience and behavior of the human
ContentEinführung in die psychologische Forschung und Modellbildung unter besonderer Berücksichtigung der kognitiven Psychologie und des psychologischen Experiments. Themen sind u.a.: Wahrnehmung; Lernen und Entwicklung; Denken und Problemlösen; Kognitive Sozialpsychologie; Risiko und Entscheidung.
752-2121-00LConsumer Behaviour II2 credits2GM. Siegrist, A. Berthold
AbstractThis course examines important concepts and theories in order to describe and to explain consumer behavior. The focus is on decision making processes, influencing consumer behavior, consumer research, and market segmentation. Selected topics are explained in some depth.
ObjectiveThis course examines important concepts and theories in order to describe and to explain consumer behavior. The course Consumer Behavior I provides an overview, whereas in this course selected topics are explained and discussed in some depth. The focus is on decision making processes, influencing consumer behavior, consumer research, and market segmentation.
752-2123-00LRisk Awareness, Risk Acceptance and Trust3 credits2VM. Siegrist
AbstractThe course provides an overview about risk perception and acceptance of new technologies. In addition, the most important findings of the research related to decisions under uncertainty are presented.
ObjectiveStudents know the most important theoretical approaches in the domains of risk perception and acceptance of new technologies. Furthermore, students understand the paradigms and the research results in the domain of decision making under uncertainty.