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.
When I get in the train next week at the Düsseldorf airport, I know that there is something different about it in comparison to a normal train.
As emotions run through everyday life, facial expression analysis is often used in consumer and behavior research. With FaceReader you can now detect affective attitudes as well.
Researcher Wendy Moyle and her team explored if the use of a robotic seal as a therapeutic tool would influence the emotional and behavioral symptoms of dementia.
Teamwork plays an important role in ensuring patient safety and avoiding errors. The most commonly used method to promote teamwork, is training entire teams together to better prepare them for effective cooperation.
Interruptions in your work have a negative effect on completing your tasks correctly. Jones and her team examined the impact of clinical interruptions on simulated trainee performances during central venous catheterization.
Older people are healthier these days and like to live in their own homes as long as possible. As a result, the need for home care services is increasing.
Researcher Rebecca Knapp was interested to know whether infant eye gaze away from the mother, or eye gaze directed to the mother, would correspond to increased maternal oxytocin. Read her blog post to learn more.
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.