The concept engagement is gaining more and more attention. Many companies are looking for ways to increase consumer engagement. But, how do you know a consumer is feeling engaged?
Within the field of human factors and usability, frustration poses an interesting challenge. It can be a barrier for learning. So how can we measure frustration in order to minimize it?
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.
Of all human expressions, a smile is the most universal. But can you tell which smile is real and which is false?
Many researchers have turned towards using automated facial expression recognition software to better provide an objective assessment of emotions.
GO-LAB demonstrated FaceReader's amazing possibilities and efficient replacement of manual coding procedures.