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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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    1. David J. Cooper & Kai-Uwe K?hn, 2014. "Communication, Renegotiation, and the Scope for Collusion," American Economic Journal: Microeconomics, American Economic Association, vol. 6(2), pages 247-278, May.
    2. Ben Greiner & Werner Güth & Ro’i Zultan, 2012. "Social communication and discrimination: a video experiment," Experimental Economics, Springer;Economic Science Association, vol. 15(3), pages 398-417, September.
    3. Michèle Belot & Jeroen Ven, 2017. "How private is private information? The ability to spot deception in an economic game," Experimental Economics, Springer;Economic Science Association, vol. 20(1), pages 19-43, March.
    4. 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.
    5. Hopfensitz, Astrid & Mantilla, Cesar, 2019. "Emotional expressions by sports teams: An analysis of World Cup soccer player portraits," Journal of Economic Psychology, Elsevier, vol. 75(PB).
    6. Cason, Timothy N. & Khan, Feisal U., 1999. "A laboratory study of voluntary public goods provision with imperfect monitoring and communication," Journal of Development Economics, Elsevier, vol. 58(2), pages 533-552, April.
    7. Stefan P. Penczynski, 2019. "Using machine learning for communication classification," Experimental Economics, Springer;Economic Science Association, vol. 22(4), pages 1002-1029, December.
    8. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    9. 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.
    10. Greiner, Ben & Caravella, Mary & Roth, Alvin E., 2014. "Is avatar-to-avatar communication as effective as face-to-face communication? An Ultimatum Game experiment in First and Second Life," Journal of Economic Behavior & Organization, Elsevier, vol. 108(C), pages 374-382.
    11. Urs Fischbacher & Franziska Föllmi-Heusi, 2013. "Lies In Disguise—An Experimental Study On Cheating," Journal of the European Economic Association, European Economic Association, vol. 11(3), pages 525-547, June.
    12. Ottaviani, Marco & Sorensen, Peter, 2001. "Information aggregation in debate: who should speak first?," Journal of Public Economics, Elsevier, vol. 81(3), pages 393-421, September.
    13. Russell Cooper & Douglas V. DeJong & Robert Forsythe & Thomas W. Ross, 1989. "Communication in the Battle of the Sexes Game: Some Experimental Results," RAND Journal of Economics, The RAND Corporation, vol. 20(4), pages 568-587, Winter.
    14. Jiawei Li & Stephen Leider & Damian Beil & Izak Duenyas, 2021. "Running online experiments using web-conferencing software," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 7(2), pages 167-183, December.
    15. 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.
    16. 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.
    17. Russell Cooper & Douglas V. DeJong & Robert Forsythe & Thomas W. Ross, 1992. "Communication in Coordination Games," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(2), pages 739-771.
    18. Isaac, R Mark & Walker, James M, 1988. "Communication and Free-Riding Behavior: The Voluntary Contribution Mechanism," Economic Inquiry, Western Economic Association International, vol. 26(4), pages 585-608, October.
    19. Dulleck, Uwe & He, Yumei & Kidd, Michael P. & Silva-Goncalves, Juliana, 2017. "The impact of affirmative action: Evidence from a cross-country laboratory experiment," Economics Letters, Elsevier, vol. 155(C), pages 67-71.
    20. repec:dau:papers:123456789/13933 is not listed on IDEAS
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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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