Neurodesign Seminar – How to Measure and Analyse Physiological and Psychological Data? (Wintersemester 2019/2020)
Lecturer: Dr. Julia von Thienen
(Internet-Technologien und -Systeme)
- Weekly Hours: 2
- Credits: 3
- Enrolment Deadline: 01.10.2019-31.10.2019
- Teaching Form: Seminar
- Enrolment Type: Compulsory Elective Module
- Course Language: English
Programs & Modules
This seminar complements the lecture on neurodesign, but can also be taken independently.
In class, we will design brief experiments or interventions that bear on questions of creativity, innovation and collaborative design. Topics will be chosen based on the interests of course participants. We will conduct pilot studies in class, or briefly try out potential interventions to facilitate creative engineering. Along the way, participants learn to conduct physiological and psychological measurements. Participants can expect to gain experiences in the following methods: EEG; measurements of physiological data from wearable devices, such as electrodermal activity as a stress indicator or heart-rate; motion data by means of computer vision (Kinect) and accelerometor (E4); facial gesture recognition via webcam and Open Face software; the development of coding schemes and subsequent behaviour analyses via video coding; audio transcript analysis; the design and evaluation of questionnaires, tests and experiments. Participants will learn to program R and SPM to analyse EEG and fMRI data sets, as well as to analyse simpler data sets with physiological and psychological measures that we generate in class.
This course will be most pertinent for you when you have a background in at least one of the following domains and interests that cover at least one more domain:
1. (Digital) Engineering
2. Neuroscience and physiological research methods
3. Design thinking - innovation - creativity.
Beyond this general background, you need no particular pre-experiences to participate in class.
To intensify your learnings, you can also participate in the Neurodesign Lecture on Mondays (11 a.m. - 12:30 p.m. in Hörsaal 3), but this is not obligatory.