Workshop on Context and Activity Modeling and Recognition with AI

Context-aware applications increasingly act autonomously on behalf of users, adapting their behavior based on both explicit user interactions and the surrounding context. This context spans a diverse range of information, including user activities, environmental factors, and social interactions. While existing context models capture different aspects of this data, fundamental issues remain, such as uncertainty, ensuring interpretability, and managing heterogeneous data sources effectively. A more holistic approach is needed to incorporate multiple types of context information, model their interdependencies, and ensure high-quality, adaptive context awareness.

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