Communication and Media Engineering

Die zentrale Idee und Vision ist es, eine wissenschaftliche und anwendungsorientierte Elite in den modernen Technologien der Telekommunikation und digitalen Medien auszubilden.



Quantifying the Effects of Media


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


Teaching methods Seminar/Lab
Learning target / Competences

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
Hours per week 4.0
Classes 60 h
Individual / 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 Annually (ss)

Master's degree program CME


Quantifying the Effects of Media Lab

Type Lab
Nr. M+I417
Hours per week 2.0

   advanced methods for human subject studies with media

   measuring user behavior with standard tools (e.g. NASA-TLX, AttrakDiff)

   measuring user behavior by acquiring physiological data (e.g. facial expressions, GSR)

   analyze how subjective and measured media experience correlate or differ

   visualize and describe your results in a scientific (short) paper


- Field, A. P., & Hole, G. (2003). How to design and report experiments. London; Thousand Oaks, Calif: Sage publications Ltd.

- Haapalainen, E., Kim, S., Forlizzi, J. F., & Dey, A. K. (2010). Psycho-physiological Measures for Assessing Cognitive Load. Proceedings of the 12th ACM Int. Conference on Ubiquitous Computing (pp. 301-310). ACM.

- Jacko, J. (2012). The human-computer interaction handbook: fundamentals, evolving technologies, and emerging applications. (3rd ed). CRC Press.

- Zhou, J., Sun, J., Chen, F., Wang, Y., Taib, R., Khawaji, A., & Li, Z. (2015). Measurable Decision Making with GSR and Pupillary Analysis for Intelligent User Interface. ACM Trans. Comput.-Hum. Interact., 21(6), 33:1-33:23.

Quantifying the Effects of Media

Type Seminar
Nr. M+I416
Hours per week 2.0

•  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