Knowledge Discovery Group

Quantitative Methods in Human-Computer Studies

29.10.2014: Update der Veranstaltungszeiten.


    Lecturer: Prof. Dr. Ansgar Scherp
    Excercises: Falk Böschen


    Lectures: Wednesday, 12:30 - 14:00, LMS2 - R.Ü3 (UPDATE)
    Lectures/Excercises: Thursday, 14:15 - 15:00, LMS2 - R.Ü3 (UPDATE)


This lecture will be taught either in German or in English (depending on the audience).


The course gives an introduction to Human-Computer Interaction (HCI) with specific focus on research methods. To this end, students gain theoretical knowledge about different aspects and methods needed in HCI for conducting user studies.


The students will be empowered to apply the theoretical knowledge by designing and conducting a user study and analyzing and reporting the results. The students will learn to work independently and to work in a small group of fellow students.

As preparation to the course, enjoy a pre-conceived vision of the Internet in 1969, see video below:



This course gives a brief introduction to the fundamentals of human-computer interaction (HCI). Subsequently, different aspects and research methods in HCI will be considered that are needed to design, conduct, and report a user study. In detail, the students will gain theoretical knowledge about:

  • identifying a research hypothesis,
  • specifying the design of a study (conditions, environments, tasks, etc.),
  • selecting appropriate means of measures (quantitative, qualitative),
  • designing questionnaires, and
  • analyzing and reporting the results using inferential statistics.

Besides gaining theoretical knowledge on HCI methods, the students will be empowered applying these methods. To this end, they will design a user study in a small group of fellow students. This group will actually run the data collection sessions of the study, analyze and report the results, and provide some conclusions. To this end, the user study will be documented in writing and video. Optionally, the course will introduce into further topics such as surveys, diaries, case studies, interviews, or focus groups

Learning Material

Slides and other learning material can be obtained from the OpenOLAT group:

Course Assessment

Project work including presentations and project documentation. Active participation in the tutorials is prerequisite for admission to the exam.


The module can be accounted as WInf-MethodsHCI (6 ECTS) in the studies of MSc Computer Science, MSc Business Informatics, and BSc Computer Science.


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