In this blog post, Tess den Uyl, PhD, Peter Lewinksi, PhD, and Amogh Gudi, PhD from VicarVision outline how FaceReader is designed with scientific rigor and in accordance with responsible AI principles.
Measuring or assessing emotions is not always straightforward and easy. How do we view the nature of emotions in the first place?
Why do respondents show an angry facial expression when evaluating a website or product, when there is no reason to expect them to actually be angry? Read more in this sequel to the blog post "How emotions are made".
As an adolescent you have no idea what awaits you in working life, what you are capable of. Looking for answers to these questions is part of the vocational development, in which parents play a crucial role.
Are you involved in emotion recognition and facial expression analysis? These 5 tips will guarantee the best results!
Understanding more about emotion processing in people with antisocial personality disorder and psychopathic traits can improve interventions. The team of researcher Kyranides studied how facial mimicry can help.
Neuroscience research in the past decades has shown that our brain gives meaning to our experiences and sensations, through concepts such as emotions.
There have been many statements about using automated facial expression analysis to assess emotions. Let’s take a look at what is actually possible and impossible to do with FaceReader, through a game of true and false.
A mask-like facial expression is an early symptom of Parkinson's disease. How can we understand the relation between changed facial expressions and disease severity? Researcher Yang and their team used FaceReader to find out.
The study of infant behavior provides incredible insight into the field of psychology, developmental biology, neuroscience, and other social and life sciences.