IDEAS home Printed from https://ideas.repec.org/p/mag/wpaper/22009.html

MTV - Magdeburg Tool for Videoconferences

Author

Listed:
  • Dmitri Bershadskyy
  • Sunil Ghadwal
  • Jannik Greif

Abstract

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.

Suggested Citation

  • Dmitri Bershadskyy & Sunil Ghadwal & Jannik Greif, 2022. "MTV - Magdeburg Tool for Videoconferences," FEMM Working Papers 22009, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    • Handle: RePEc:mag:wpaper:22009
    as

    Download full text from publisher

    File URL: https://www.fww.ovgu.de/fww_media/femm/femm_2022/2022_09.pdf
    File Function: First version, 2011
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Samuele Centorrino & Elodie Djemaï & Astrid Hopfensitz & Manfred Milinski & Paul Seabright, 2015. "Honest signalling in trust interactions: smiles rated as genuine induce trust and signal higher earnings opportunities," Post-Print hal-01518371, HAL.
    2. Bochet, Olivier & Page, Talbot & Putterman, Louis, 2006. "Communication and punishment in voluntary contribution experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 60(1), pages 11-26, May.
    3. Jeannette Brosig & Joachim Weimann & Axel Ockenfels, 2003. "The Effect of Communication Media on Cooperation," German Economic Review, Verein für Socialpolitik, vol. 4(2), pages 217-241, May.
    4. repec:dau:papers:123456789/13933 is not listed on IDEAS
    5. Marta Serra-Garcia & Uri Gneezy, 2021. "Mistakes, Overconfidence, and the Effect of Sharing on Detecting Lies," American Economic Review, American Economic Association, vol. 111(10), pages 3160-3183, October.
    6. Daniel L. Chen & Martin Schonger & Chris Wickens, 2016. "oTree - An open-source platform for laboratory, online, and field experiments," Post-Print hal-04315125, HAL.
    7. Chen, Daniel L. & Schonger, Martin & Wickens, Chris, 2016. "oTree—An open-source platform for laboratory, online, and field experiments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 9(C), pages 88-97.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Simon Dato & Eberhard Feess & Jan-Patrick Mayer & Gerd Muehlheusser & Petra Nieken, 2025. "Unethical Decisions and Coordination in Groups: The Role of Information and Communication," CESifo Working Paper Series 12339, CESifo.
    3. Zakaria Babutsidze & Nobuyuki Hanaki & Adam Zylbersztejn, 2019. "Digital Communication and Swift Trust," Post-Print halshs-02409314, HAL.
    4. Zakaria Babutsidze & Nobuyuki Hanaki & Adam Zylbersztejn, 2021. "Nonverbal content and trust: An experiment on digital communication," Economic Inquiry, Western Economic Association International, vol. 59(4), pages 1517-1532, October.
    5. Walther, Sven, 2025. "The Effect of Virtual Communication Channels on Human Behavior: A Literature Review," MPRA Paper 125223, University Library of Munich, Germany.
    6. Yuhao Fu & Nobuyuki Hanaki, 2025. "Paying AI to Detect AI," ISER Discussion Paper 1296, Institute of Social and Economic Research, The University of Osaka.
    7. Bershadskyy, Dmitri & Seidel, Alexandra, 2024. "Choosing a victim you know," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 112(C).
    8. Federica Alberti & César Mantilla, 2024. "Correction to: A mechanism requesting prices and quantities may increase the provision of heterogeneous public goods," Experimental Economics, Springer;Economic Science Association, vol. 27(1), pages 271-271, March.
    9. Brenøe, Anne Ardila & Eyibak, Zeynep & Heursen, Lea & Ranehill, Eva & Weber, Roberto A., 2024. "Gender Identity and Economic Decision Making," IZA Discussion Papers 17564, IZA Network @ LISER.
    10. Petra Nieken & Sven Walther, 2024. "Honesty in Virtual Communication," CESifo Working Paper Series 11094, CESifo.
    11. Topi Miettinen & Sigrid Suetens, 2008. "Communication and Guilt in a Prisoner's Dilemma," Journal of Conflict Resolution, Peace Science Society (International), vol. 52(6), pages 945-960, December.
    12. Grosch, Kerstin & Fischer, Sabine, 2024. "Gender equivalence in overconfidence A large-scale experimental study in a non-WEIRD country," Department for Strategy and Innovation Working Paper Series 02/2024, WU Vienna University of Economics and Business.
    13. Urs Fischbacher & Dorothea Kübler & Robert Stüber, 2024. "Betting on Diversity—Occupational Segregation and Gender Stereotypes," Management Science, INFORMS, vol. 70(8), pages 5502-5516, August.
    14. Rockenbach, Bettina & Wolff, Irenaeus, 2009. "Institution design in social dilemmas: How to design if you must?," MPRA Paper 16922, University Library of Munich, Germany.
    15. Rutledge, Robert M. & Alladi, Vinayak & Cheung, Stephen L., 2025. "Price expectations and reference-dependent preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 231(C).
    16. Feltovich, Nick & Grossman, Philip J., 2015. "How does the effect of pre-play suggestions vary with group size? Experimental evidence from a threshold public-good game," European Economic Review, Elsevier, vol. 79(C), pages 263-280.
    17. Ahn, T.K. & Ostrom, Elinor & Walker, James, 2010. "A common-pool resource experiment with postgraduate subjects from 41 countries," Ecological Economics, Elsevier, vol. 69(12), pages 2624-2633, October.
    18. Mathieu Chevrier & Vincent Teixeira, 2024. "Algorithm Delegation and Responsibility: Shifting Blame to the Programmer?," GREDEG Working Papers 2024-04, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France, revised Sep 2024.
    19. Hikmet Gunay & Ricardo Huamán-Aguilar, 2024. "Experiments on the Different Numbers of Bidders in Sequential Auctions," Documentos de Trabajo / Working Papers 2024-530, Departamento de Economía - Pontificia Universidad Católica del Perú.
    20. Michalis Drouvelis & Brit Grosskopf, 2021. "The impact of smiling cues on social cooperation," Southern Economic Journal, John Wiley & Sons, vol. 87(4), pages 1390-1404, April.

    More about this item

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mag:wpaper:22009. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: IT Administrators at FWW (email available below). General contact details of provider: https://edirc.repec.org/data/fwmagde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.