muCap: Connecting FaceReader™ to z-Tree
Leonard Doyle and
David Schindler ()
Discussion Papers in Economics from University of Munich, Department of Economics
μCap (muCap) is a software package (citeware) for economic experiments enabling experimenters to analyze emotional states of subjects using z-Tree and FaceReader™. μCap 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 μCap 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. Until recently, connecting z-Tree and FaceReader™ was only possible using workarounds or by undertaking many successive actions manually. μCap is the first program that significantly simplifies this process with the additional benefit of extremely high precision. This paper describes the usage, underlying principles as well as advantages and limitations of μCap. Furthermore, we give a brief outlook of how μCap 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)
New Economics Papers: this item is included in nep-exp, nep-ict and nep-neu
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:lmu:muenec:24809
Access Statistics for this paper
More papers in Discussion Papers in Economics from University of Munich, Department of Economics Ludwigstr. 28, 80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Tamilla Benkelberg ().