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Emotional Data Lab Aarhus

EMDAA (2016-2022)
Funding: Independent Research Fund Denmark
 

Participants: Thomas Bjørnsten (PI), Matilde Nesheim, Lasse Hansen & Sebastian Scott Engen


Emotional Data Lab Aarhus (EMDAA) has been established as an interdisciplinary research and knowledge platform concerned with topics and innovation within emotion and affective data analysis and cognitive computing. EMDAA emerged from an individual Sapere Aude postdoc project entitled "Making Sense Of Data” (2014-18), which investigated recent developments in experimental data visualization and sonification methods.

Thomas' current research in emotion and affective data is focused on the impact and application of such computational models and techniques in the field of digital marketing communication and consumer behavior analysis. In particular, he is occupied with the automation of voice and speech-based platforms and what he refers to as the progression from “assistive” to “addictive” technologies.