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.
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.
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?
A female voice greets me by my name and tells me “You are data. And this data is continuously measured and used, whether you like it or not.”
Are you interested in using automatic facial expression analysis in a standardized lab setting? Here are 5 tips to get you started!
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.
Are you involved in emotion recognition and facial expression analysis? These 5 tips will guarantee the best results!
Behavioral techniques to empower consumers: resisting persuasion by controlling your facial expressions
The role of facial expression in resisting enjoyable advertisements.
As a researcher, one of my biggest thrills was being able to predict how someone was going to behave, especially without asking him or her.