Behavioral Research Blog - FaceReader

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.

Researchers at KU Leuven want to gain more insight into whether or not there are differences in the implicit abilities of children with ASD to detect faces, different identities, and different expressions.

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.

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.

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.

Learn all about gamification in marketing, facial expression analysis, and the difference between self-report, qualitative research, and unobtrusive observations.