Scientific publications
Read about the research that supports the FaceReader Ecosystem
Over the past 20+ years, our facial coding platform and its embedded technologies have been the subject as well as the preferred instrument for numerous accredited scientific studies. Below we present a comprehensive overview of the literature that has emerged from these studies, highlighting and validating the cutting-edge technology of FaceReader Online.
2010
255 citations
Self-focused attention and emotional reactivity: The role of culture.
Chentsova-Dutton & Tsai
2014
66 citations
Measuring Software Screen Complexity: Relating Eye Tracking, Emotional Valence, and Subjective Ratings
Goldberg
2015
88 citations
Characterizing consumer emotional response to sweeteners using an emotion terminology questionnaire and facial expression analysis
Leitch, Duncan, O’Keefe, Rud, Gallagher
2014
417 citations
Automated facial coding: Validation of basic emotions and FACS AUs in FaceReader
P. Lewinski, T. M, Den Uyl, C. Butler
2014
214 citations
Predicting advertising effectiveness by facial expressions in response to amusing persuasive stimuli
P. Lewinski, M.L. Fransen and E.S.H. Tan
2014
3 citations
Turkish presidential elections trt publicity speech facial expression analysis
H.E. Tasli, P. Ivan