When you study human behavior, coding your data is the initial step to analyze data. Coding behavior enables you to evaluate your research questions and draw reliable conclusions.
Voice assistants – they are found in almost every aspect of our daily lives. Elaine Mathe studied how users interact with voice assistants and what emotions they show in response to played ads.
The SUKIPANI smile is an exercise to train the muscles you use while smiling. Dr. Sugahara explains the effect of the movements of the muscles and uses FaceReader to analyze the smiles.
The study described in this guest blog post focuses on the facial expressions of emotions induced by affective stimuli in children aged between 7 and 14.
Guest blogger Jan Zumhasch, a certified FACS-coder, explains why FaceReader is amazing if you want to analyze facial expressions and emotions.
Non-verbal behavior is very important in analyzing interpersonal communication. Think about waiving your arms when explaining something, nodding your head, or frowning.