ACoMoRe 2014 - The 1st Symposium on Activity and Context Modeling and Recognition

This symposium's aim is to advance the state of the art in activity and context modeling and reasoning, and also discuss fundamental issues in context processing and management. The goal is to identify concepts, theories and methods applicable to context modeling, context reasoning, and activity recognition, as well as system-oriented issues related to the design and implementation of context-aware systems.
In particular, the following topics are of interest to this symposium:
Context modeling techniques
Machine learning and reasoning techniques for context and activity recognition
Domain-specific context models
The relationships between context models and context/activity recognition
Ontology-based approaches to context/activity modeling and reasoning
Leveraging context models and ontologies for the training of recognition systems
Hybrid context models (integration of various modeling techniques)
Quality, ambiguity, and provenance of context
Context reasoning algorithms, their complexity and accuracy
Social context/activity modeling and recognition
Collaborative and opportunistic recognition systems
Discovery and reuse of context information
Privacy, security and trust of context information
Distributed and scalable context management
Experiences with using context models to build context-aware applications
Tool support for context modeling and development of context model-based applications
Experience with novel sensing modalities and systems for context and activity recognition
Use of social network data for personal and collective awareness
Balance of autonomy with user control