Communication and Media Engineering (CME)

Quantifiying the Effects of Media

Recommended prior knowledge

•   Basic knowledge of Human Computer Interaction (HCI) as well as empirical studies both using quantitative and qualitative methods.


Teaching Methods Seminar/Labor
Learning objectives / competencies

The combination of the lab and the seminar enables the successful student to take a scientific look at the way media are perceived. Based on a solid knowledge of standard tools like surveys, they learn to conduct studies and interpret data:

  • get to know advanced methods of human computer interaction
  •  learn how to measure user behavior with standard tools (e.g. surveys like NASA-TLX)
  • learn how to measure user behavior by acquiring physiological data 
  • understand how perceived and measured media experience can correspond or differ
  • learn how to conduct studies on media reception using the methods mentioned above
Duration 1
SWS 4.0
Classes 60 h
Self-study / group work: 90 h
Workload 150 h
ECTS 5.0
Requirements for awarding credit points

Assignment HA (3/4)+Presentation RE (1/4)

Responsible Person

Prof. Dr. phil. Marc Oliver Korn

Recommended Semester 2
Frequency jedes Jahr (SS)

Master-Studiengang CME


Quantifying the Effects of Media Lab

Type Labor
Nr. M+I417
SWS 2.0

Quantifying the Effects of Media

Type Seminar
Nr. M+I416
SWS 2.0
Lecture Content

•  Human Computer Interaction – a quick overview

•  human cognitive and sensory thresholds

•  emotions in media and learning

•  Affective Computing: using the computer to interpret emotions

•  emotions in facial expressions

•  emotions in galvanic skin response (GSR)

•  Brain Computer interaction (BCI)



•  Dix, A., Finlay, J., Abowd, G.  & Beale, R. (2003) Human Computer, Interaction (3rd Ed.), Prentice Hall

•   Ekman, P. (1993). Facial expression and emotion. American Psychologist, 48(4), 384

•   Kanjo, E., Al-Husain, L., & Chamberlain, A. (2015). Emotions in context: examining pervasive affective sensing systems, applications, and analyses. Personal and Ubiquitous Computing, 19(7), 1197–1212.

•   Picard, R. W. (1997). Affective Computing. MIT Press