Events
30 September 2026 Humanities at the MediaLab
The MediaLab showcases itself and its potential for conducting quantitative research within the humanities at the annual “Science Day”, during which colleagues present their research work. Following a welcome address, the director, Jörg Mühlhans, will give an introduction to the MediaLab, present the technologies available and answer any questions regarding the use of the lab. This will be followed by three colleagues presenting their current research, which has been carried out using technologies available at the MediaLab, to provide an insight into how quantitative methods can also be used in fields where they have previously been little utilised.
The event:
30 September 2026
14:30 – 18:00
Aula, University Campus (Spitalgasse 2, Hof 1, 1090 Vienna)
Free admission
Language: English
Timetable:
14:30 Welcome by Jörg Mühlhans, Head of the MediaLab
14:45 Presentation: Inside the MediaLab: Tools, Projects, Possibilities (Jörg Mühlhans)
15:30 Lecture 1: Neural Entrainment to Familiarised and Unfamiliarised Songs in 7-Month-Old Infants (Ingrid Schachner)
16:00 Coffee break
16:30 Lecture 2: Musical Familiarity in the Brain (Albert Stickler)
17:00 Presentation 3: Chasing the Swing: A Motion Capture Study of Jazz Dance (Sumner Williams)
17:30 Buffet & networking
Details on presentations and speakers:
Jörg Mühlhans (MediaLab)
Inside the MediaLab: Tools, Projects, Possibilities
The MediaLab provides a wide range of technologies—including EEG, motion capture, eye tracking, and audio and video recording and editing tools—for researchers seeking to enhance their work with modern empirical methods. This presentation offers a virtual tour of the MediaLab and introduces its facilities and technologies. From producing a simple podcast to conducting complex experimental studies, the MediaLab has something to offer researchers at every level of technical experience.
The MediaLab’s facilities are available free of charge to members of the Faculty of Philological and Cultural Studies. The presentation will explain how to request access, which requirements must be met, and what possibilities and limitations should be considered when planning a project. There will also be time for questions.
Short CV
Jörg Mühlhans has headed the MediaLab since it opened in 2019. He specializes in quantitative methods for measuring human movement, particularly motion capture and eye tracking. Alongside his own research, he teaches these technologies within the Digital Humanities curriculum at the University of Vienna. His mission at the MediaLab is to advance empirical methods in the humanities and use science communication to make research accessible beyond academia.
Ingrid Schachner (MediaLab)
Neural Entrainment to Familiarized and Unfamiliarized Song in 7-Months-Old Infants
Throughout development, infants enculturate to music through exposure to song. Studies have shown that the brain activity of infants can synchronize with musical as well as with linguistic aspects. However, it is unknown whether when confronted with song, a stimulus which combines musical and linguistic aspects, infants’ brain activity synchronizes preferentially to one over the other. In the presented experiment we used EEG to expand our knowledge on how song is perceived in infants, especially regarding entrainment to musical and/or linguistic aspects presented in familiar or unfamiliar songs.
Short CV
Ingrid Schachner is currently pursuing her PhD at the Department of Musicology at the University of Vienna where she also studied during her bachelor’s and master’s. Her research revolves around song perception in infancy and whether infants are recognizing song based on musical or linguistic aspects which she targets by analyzing EEG data.
Albert Stickler (Institut für Musikwissenschaft)
Musical familiarity in the Brain
Musical familiarity and memories are fascinating characteristics of music, as they can already occur after shorts periods of exposure and remain encoded over long periods of time. Three interconnected experiments will aim to answer questions regarding song familiarity, task instructions, familiarity encoding and exposure to music, as well as age related differences of neural processing of music. The methodological approaches include the usage of EEG, coding and questionnaires and will be conducted at the MediaLab of the Faculty of Philological and Cultural Studies. The valuable contribution and novelty to musical memory research can be found in the experimental approaches and the holistic analytical view over all age groups, that will be presented in my talk.
Short CV
Albert Stickler is currently doing his PhD studies at the Department of Musicology of the University of Vienna. His current research revolves around musical memory, where he investigates various brain responses to music and language in young and old people. His employment extends this research to singing-based interventions for people suffering from Alzheimer’s disease.
Sumner Williams (Institut für Musikwissenschaft)
Chasing the Swing. A Motion Capture Study of Jazz Dance
The research project „Chasing the Swing“ uses motion capture to study the most popular swing dance of the 30‘s and 40‘s. Lindy Hoppers from the Vienna scene dance in the motion capture lab of the MediaLab, allowing us to investigate the connection between music and movement features. We use the MoCap Toolbox, a MATLAB library built for analyzing motion capture data, to extract both fundamental and higher-order kinematic features. These are then correlated with the music features of the various stimuli. The project aims at understanding how jazz dancers doing spontaneous and free movement embody and interpret the music with their partner in a social context.
Short CV
Sumner Williams received his BM in trumpet from the UNC school of the arts, going on to complete his postgraduate work in musicology at the University of Vienna. His research focuses on early jazz music and dances of the 30‘s and 40‘s. His PhD project, Chasing the Swing, aims at understanding of the connection between jazz music and jazz dance.