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

Leonard Doyle and David Schindler
Additional contact information
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
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://link.springer.com/10.1007/s40881-019-00065-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:jesaex:v:5:y:2019:i:1:d:10.1007_s40881-019-00065-1

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/40881

DOI: 10.1007/s40881-019-00065-1

Access Statistics for this article

Journal of the Economic Science Association is currently edited by Nikos Nikiforakis and Robert Slonim

More articles in Journal of the Economic Science Association from Springer, Economic Science Association Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().