This journal is a place for highly original ideas about how CA is going to shape computing and communication of the future. Hence, it focuses on rigorous approaches and cutting-edge solutions which break new ground in dealing with the properties of CA.
Its purpose is to make a formal basis more accessible to researchers, scientists, professionals and students as well as developers and practitioners in computer science by providing them with state-of-the-art research results and future opportunities and trends.
The feature scope of topics includes all aspects of CA in both computing and communication Original papers are solicited for this journal. In particular, theoretical contributions should be formally stated and justified, and practical applications should be based on their firm formal basis.
Suggested topics include, but are not limited to, the following:
Fundamentals of Context-aware systems:
- Context-aware models
- Context-aware control
- Context-aware algorithms
- Context-aware networks
- Context-aware computing
- Context-awareness calculi
- Context-awareness representation
- Context-awareness-based systems
- Logic in context-awareness
- Context-awareness reasoning
- Formal methods of context-awareness
- Context-awareness-based optimization and swarm Intelligence
- Knowledge-based awareness
- Routing, transport, and reliability issues of context-aware systems
- Techniques for data dissemination and replication in context-aware systems
- Applications and middleware support, mobile social networking applications
- Mobility models and statistical analysis of mobility traces
- Context and social awareness mechanisms and algorithms
- Co-existence of opportunistic networks with infrastructure mobile wireless networks
- Service composition in autonomic and opportunistic networks
- Cognition-driven information processing and decision making
- Performance modeling, scaling laws, and fundamental limits for autonomic and opportunistic communications
- Participatory and urban sensing in autonomic and opportunistic networks
- Trust, security, and reputation
- Autonomic and opportunistic communication testbeds and prototypes, measurement data from real experiments
- Socio-economic models for autonomic and opportunistic communications
- Context-aware information retrieval
- Context-aware profiling, clustering and collaborative filtering
- Machine learning for context-aware information retrieval and ontology learning
- Context-aware e-learning/tutoring
- Use of context-aware technologies in UI/HCI
- Context-aware advertising
- Recommendations for mobile users
- Context-awareness in portable devices
- Context-aware services
- Social Agents and Avatars
- Emotion and Personality
- Virtual Humans
- Autonomous Actors
- Awareness-based Animation
- Social and Conversational Agents
- Inter-Agent Communication
- Social Behavior
- Crowd Simulation
- Understanding Human Activity
- Memory and Long-term Interaction
Context-awareness (CA) has attracted increasing attention in computing and communication communities since it allows automatic adaptation of devices, systems, and applications to user's context change. The context is the information related to the situation of an entity such as the present status of people, places, things and devices in the environment.
An entity is a person, device, place, or object relevant to the interaction between a user and an application, such as location, time, activities, and services.
Context awareness allows for customization or creation of the application to match the preferences of the individual user, based on current context such as enterprise environment or home network.
Currently context has been considered as part of a process in which users are involved, hence specifying and developing context models are needed to support context-aware applications to
- adapt interfaces,
- tailor the set of application-relevant data,
- increase the precision of information retrieval,
- discover services,
- make the user interaction implicit, or
- build smart environments.
Context related to human factors is structured into three categories:
- information on the user,
- the user’s social environment, and
- the user’s tasks.
Likewise, context related to physical environment is structured into three categories:
- infrastructure, and
- physical conditions.