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MTVE: Magdeburg tool for video experiments

Author

Listed:
  • Dmitri Bershadskyy

    (Otto-von-Guericke University)

  • Sunil Ghadwal

    (Otto-von-Guericke University)

  • Jannik Greif

    (Otto-von-Guericke University)

Abstract

MTVE is an open-source software tool (citeware) that can be applied in laboratory and online experiments to implement video communication. The tool enables researchers to gather video data from these experiments in a way that these videos 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 into z-Tree, oTree (and other experimental or survey tools). It provides the experimenters control over several communication parameters (e.g., number of participants, resolution), produces high-quality video data, and circumvents the Cocktail Party Problem (i.e., the problem of separating speakers solely based on audio input) by producing separate files. Using some of the recommended Voice-to-Text AI, the experimenters can transcribe individual files. MTVE can merge these individual transcriptions into one conversation.

Suggested Citation

  • Dmitri Bershadskyy & Sunil Ghadwal & Jannik Greif, 2024. "MTVE: Magdeburg tool for video experiments," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 10(2), pages 609-619, December.
  • Handle: RePEc:spr:jesaex:v:10:y:2024:i:2:d:10.1007_s40881-024-00165-7
    DOI: 10.1007/s40881-024-00165-7
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    More about this item

    Keywords

    Communication; Tool; Software;
    All these keywords.

    JEL classification:

    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General

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