Emotional Expressions are an integral component of the reliability when animating virtual characters. But the sheer
amount of possible emotions and the complexity in their selection makes it difficult to develop an intuitive way of
controlling arbitrary facial expressions interactively in real-time. This work aims at finding a decent representation
of emotions and their expressions, as well as their interactive control by suitable tools. It develops a valid cultural
spreading system to classify emotions and thus control emotional expressions interactively. Different complexity
stages are presented and evaluated for being able to satisfy different application scenarios.