Guest blogger Jan Zumhasch, a certified FACS-coder, explains why FaceReader is amazing if you want to analyze facial expressions and emotions.
Many researchers have turned towards using automated facial expression recognition software to better provide an objective assessment of emotions.
Music affects people, that's for sure. But to what extent varies per person. To measure facial expressions during a musical experiment, FaceReader Online is the easy-to-use tool.
Recent scientific research shows that emotional expressions like anger and happiness matter in being successful in the group phase of the soccer World Cup.
This study shows that emotions in company messages or advertisements could be used to build and measure brand value. This measure can thus be added to social media metrics guidelines to assess success rate.
Many researchers have discovered FaceReader as a tool for their research. These 3 recent studies with FaceReader show how emotion data helps you to better understand human-human, human-machine, and human-product interactions.
As emotions run through everyday life, facial expression analysis is often used in consumer and behavior research. With FaceReader 7.1 you can now detect affective attitudes as well.
What does ‘nice’ actually mean in relation to psychological variables? And does it positively correlate with self-reported levels of health, happiness, and wellbeing?
Studies show that people with anorexia nervosa have reduced facial expressivity of emotions while viewing emotionally provoking stimuli. Researcher Leppanen and her team used FaceReader to investigate this.
GO-LAB demonstrated FaceReader's amazing possibilities and efficient replacement of manual coding procedures.