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MTV - Magdeburg Tool for Videoconferences / Dmitri Bershadskyy/Sunil Ghadwal/Jannik Greif
VerfasserBershadskyy, Dmitri ; Ghadwal, Sunil ; Greif, Jannik
ErschienenMagdeburg, Germany : Otto-von-Guericke-Universität Magdeburg, Fakultät für Wirtschaftswissenschaft, [2022]
Umfang1 Online-Ressource (10 Seiten, 0,71 MB) : Illustration
SpracheEnglisch
SerieWorking paper series ; 2022, no. 9
URNurn:nbn:de:gbv:3:2-931905 
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MTV - Magdeburg Tool for Videoconferences [0.71 mb]
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MTV is a software tool (citeware) for economic experiments facilitating researchers to gather video data from communication-based experiments in a way that these can be later used for automatic analysis through machine learning techniques. The browser-based tool comes with an easy user interface and can be easily integrated in z-Tree or oTree. It provides the experimenters control about several communication parameters (e.g. number of participants duration) produces high-quality video data and circumvents the Cocktail Party Problem by producing separate audio files. Using some of the recommended Voice-to-Text AI the experimenters can transcribe individual audio files. MTV can merge these individual transcriptions to one conversation. This paper describes the underlying principles of the tool technical requirements possible areas of application and current limitations.