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.
Many researchers are interested in the relationship between facial expressions and music preference. This is the first study that uses FaceReader to investigate this.
How are adolescents’ emotions socialized by mothers and close friends? A recent study focuses on dealing with depression in adolescence.
Are you interested in using automatic facial expression analysis in a standardized lab setting? Here are 5 tips to get you started!
We all have our favorite celebrities, then there are those we love to hate. Who would you want to pay to represent your product or brand?