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$$\mu$$ μ Cap: connecting FaceReader™ to z-Tree

Author

Listed:
  • Leonard Doyle

    (Ludwig Maximilian University of Munich)

  • David Schindler

    (Tilburg University)

Abstract

$$\mu$$ μ Cap is a software package (citeware) for economic experiments enabling experimenters to analyze emotional states of subjects using z-Tree and FaceReader™. $$\mu$$ μ Cap is able to create videos of subjects on client computers based on stimuli shown on screen and restrict recording material to relevant time frames. Another feature of $$\mu$$ μ Cap is the creation of time stamps in csv format at prespecified screens (or at prespecified points in time) during the experiment, measured on the client computer. The software makes it possible to import these markers into FaceReader™ easily. $$\mu$$ μ Cap is the first program that significantly simplifies the process of connecting z-Tree and FaceReader™ with the additional benefit of extremely high precision. This paper describes the usage, underlying principles as well as advantages and limitations of $$\mu$$ μ Cap. Furthermore, we give a brief outlook of how $$\mu$$ μ Cap can be beneficial in other contexts.

Suggested Citation

  • Leonard Doyle & David Schindler, 2019. "$$\mu$$ μ Cap: connecting FaceReader™ to z-Tree," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 5(1), pages 136-141, August.
  • Handle: RePEc:spr:jesaex:v:5:y:2019:i:1:d:10.1007_s40881-019-00065-1
    DOI: 10.1007/s40881-019-00065-1
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    References listed on IDEAS

    as
    1. Adriana Breaban & Charles N Noussair, 2018. "Emotional State and Market Behavior [Bubbling with excitement: en experiment]," Review of Finance, European Finance Association, vol. 22(1), pages 279-309.
    2. Perakakis, Pandelis & Guinot-Saporta, José & Jaber-Lopez, Tarek & García-Gallego, Aurora & Georgantzis, Nikolaos, 2019. "A technical note on the precise timing of behavioral events in economic experiments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 21(C), pages 10-14.
    3. Breaban, Adriana & van de Kuilen, Gijs & Noussair, Charles, 2016. "Prudence, Personality, Cognitive Ability and Emotional State," Other publications TiSEM 9a01a5ab-e03d-49eb-9cd7-4, Tilburg University, School of Economics and Management.
    4. 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.
    5. Noussair, Charles N. & Offerman, Theo & Suetens, Sigrid & Van de Ven, Jeroen & Van Leeuwen, Boris & Van Veelen, Matthijs, 2014. "Predictably angry: Facial cues provide a credible signal of destructive behavior," IAST Working Papers 14-15, Institute for Advanced Study in Toulouse (IAST).
    6. Breaban, Adriana & Van De Kuilen, Gijs & Noussair, Charles N., 2016. "Prudence, emotional state, personality, and cognitive ability," Other publications TiSEM 0ac205ac-aee3-4df2-82ee-6, Tilburg University, School of Economics and Management.
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    Cited by:

    1. Maria Karmeliuk & Martin G. Kocher & Georg Schmidt, 2022. "Teams and individuals in standard auction formats: decisions and emotions," Experimental Economics, Springer;Economic Science Association, vol. 25(5), pages 1327-1348, November.
    2. David J. Cooper & Ian Krajbich & Charles N. Noussair, 2019. "Choice-Process Data in Experimental Economics," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 5(1), pages 1-13, August.

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    More about this item

    Keywords

    Experiment; Software; FaceReader™; z-Tree;
    All these keywords.

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C99 - Mathematical and Quantitative Methods - - Design of Experiments - - - Other

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