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.
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?
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.
What should the future of eBooks look like? What more can be added to the eBook experience? Wouldn’t it be awesome if a tune would start playing when your Kindle notices you’re in a melodramatic mood?
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?