Universität Wien FIND

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Please read the information on studieren.univie.ac.at/en/info.

160076 SE Gaze and Movement - Quantitative Data Acquisition in Musicology (2020W)

Continuous assessment of course work


Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).


max. 20 participants
Language: German


Classes (iCal) - next class is marked with N

Some course units will be held at the media lab (Althanstraße 14, UZA2, Stiege H, Ebene 1), and will be announced at the beginning of the course.

Wednesday 14.10. 15:00 - 18:15 Hörsaal 2 Musikwissenschaft UniCampus Hof 9, 3G-EG-01
Wednesday 28.10. 15:00 - 18:15 Hörsaal 2 Musikwissenschaft UniCampus Hof 9, 3G-EG-01
Wednesday 11.11. 15:00 - 18:15 Hörsaal 2 Musikwissenschaft UniCampus Hof 9, 3G-EG-01
Wednesday 25.11. 15:00 - 18:15 Hörsaal 2 Musikwissenschaft UniCampus Hof 9, 3G-EG-01
Wednesday 09.12. 15:00 - 18:15 Digital
Wednesday 13.01. 15:00 - 18:15 Digital
Wednesday 27.01. 15:00 - 18:15 Digital


Aims, contents and method of the course

The course deals with the acquisition, processing, analysis and visualization of human gaze and movement data. At the beginning, a literature search will give an overview of the current state of research and provide ideas for own projects. The data acquisition will take place during the seminar (if the situation allows it) in the MediaLab of the faculty (see website: medialab.univie.ac.at). Using the existing systems (Tobii Pro and Qualisys), the participants themselves will record movement and gaze data on various questions. The collected datan will then be analyzed in order to answer the research questions and finally visualizations are created to present the results.
During the course the procedure of a scientific publication is simulated. After the topic has been chosen, an abstract has to be written which will be reviewed by at least 2 other participants (peer review). After data collection and analysis (group work) a poster presentation will be held. Finally, a detailed documentation will be written and submitted (as a seminar paper)
Covid-19 information: A switch to digital learning is possible if the measures require it. If this is the case, the data collection will be dropped and the course lecturer will provide data that can be used.

Assessment and permitted materials

During the course students have to:
+ acquire data in the lab (see info above)
+ data analysis (group work)
+ write an abstract
+ review 2 other abstracts
+ write a scientific paper
+ attendence and cooperation are also graded

Minimum requirements and assessment criteria

Solid overall computer skills (data processing, quick learning of new analytical software) and basic understanding for simple statistics are required

Examination topics


Reading list

Literature for the course will be provided via moodle.

Association in the course directory

MA: M02, M03, M05, M09, M17

Last modified: Mo 04.01.2021 15:08