Many researchers have turned towards using automated facial expression analysis software to better provide an objective assessment of emotions.
In this unique lab, technology is applied to understanding user experience, behavior on social media, and much more.
Many companies are seeking ways to understand consumer emotions in order to predict product acceptability. Here are three ways you could set up your study to assess consumer emotions.
Researchers all over the world are trying to find ways to measure real consumer responses and behavior.
A product package should help consumers make a quick decision. Donata Tania Vergura and Beatrice Luceri from the University of Parma, Italy investigated different packaging designs.
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.
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.
What does ‘nice’ actually mean in relation to psychological variables? And does it positively correlate with self-reported levels of health, happiness, and wellbeing?