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?
Real time measurement techniques like FaceReader might be the key be able to measure flow real-time.
Researchers investigated the use of facial expression ratings to assess emotional reactivity among young children directly exposed to the Great East Japan Earthquake.
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!