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

Leonard Doyle and David Schindler ()
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Leonard Doyle: Ludwig Maximilian University of Munich

Journal of the Economic Science Association, 2019, vol. 5, issue 1, No 12, 136-141

Abstract: 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.

Keywords: Experiment; Software; FaceReader™; z-Tree (search for similar items in EconPapers)
JEL-codes: C90 C91 C99 (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s40881-019-00065-1

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