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Dr. Christian Theurer
COO HAPPYCAR
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Facial expression detection uses biometric markers to detect emotions in human faces. It analyzes emotional sentiment and detects the six basic or universal expressions: happiness, sadness, anger, surprise, fear, and disgust.
Facial expressions are among other gestures that are part of nonverbal communication. Computer-based facial expression detection’s aim is to correctly mimic how humans interpret these subtle cues.
More than 70 years ago, scientific research systematically studied how individual characteristics of thoughts, emotions, and behavior can be mapped in a taxonomy, which resulted in the Big 5 or Five-Factor model.
Retorio uses the Big 5 model to train advanced AI algorithms with millions of videos for ultra-precise personality and behavior insights.
We use Retorio to analyze our customer support candidates across all HAPPYCAR countries. It helps us save up to 70% of the screening effort and we can get in touch with the best candidates faster than our competitors.
At BMW we are using Retorio to pilot a new AI-powered recruiting process. Pre-screening video applications for job- and task-fit lets us focus on top candidates early, make better hiring decisions and save cost.
We are happy that we found a new partner with Retorio to help us improving our recruiting process. Especially the greenhouse integration was very interesting for us and crucial for the positive decision.
