Nutzermodellierung

Nutzermodellierung, also known as user modeling, is the process of creating a representation of a user for a particular system. This representation aims to capture relevant characteristics of the user that can be used to adapt the system's behavior, content, or interface. The goal is to provide a more personalized and effective user experience.

Nutzermodelle can encompass a wide range of user attributes. These might include demographic information like age and gender, prior knowledge and experience with a subject or system, cognitive abilities such as learning styles or memory capacity, goals and intentions, preferences, and even emotional states. The specific attributes included depend heavily on the purpose and context of the system.

The development of a nutzermodell typically involves observation, inference, and sometimes explicit user input. Systems can gather data through user interactions, such as clicks, navigation patterns, search queries, and errors made. Machine learning techniques are often employed to analyze this data and infer user characteristics. In some cases, users might directly provide information through surveys or profile settings.

Nutzermodellierung finds applications in various domains, including adaptive educational systems, recommender systems, intelligent tutoring systems, and personalized web interfaces. By understanding the user, systems can tailor content difficulty, suggest relevant items, provide targeted feedback, or adjust the complexity of the interface to better suit individual needs and improve overall usability and engagement.