3 Emotional studies with FaceReader
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.
Why you want to know if your customers are bored, and how to find out
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.
The emotions of people who think they’re nice
What does ‘nice’ actually mean in relation to psychological variables? And does it positively correlate with self-reported levels of health, happiness, and wellbeing?
Emotions distract people with eating disorders
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.
Do emotions affect preferences to opera music?
Many researchers are interested in the relationship between facial expressions and music preference. This is the first study that uses FaceReader to investigate this.
The value of facial expression analysis in advertisements
José Chavaglia Neto and José António Filipe investigated the effect of one commercial on consumer emotion. They asked consumers to watch this commercial related to a specific brand.
Marketing and market research blogs
Learn all about gamification in marketing, facial expression analysis, and the difference between self-report, qualitative research, and unobtrusive observations.
How to use FaceReader in the lab
Are you interested in using automatic facial expression analysis in a standardized lab setting? Here are 5 tips to get you started!
Measuring flow
Real time measurement techniques like FaceReader might be the key to measuring flow in real-time.
Emotion analysis can be beneficial to researchers in decision making
David Schindler and colleagues developed a software, µCap (muCap), which is capable of creating a link between video footage and phases of the experiment, suitable for automated analysis in FaceReader.