2nd Workshop on Engineering Context-Aware Applications and Services (ECAAS 2018)

The ubiquity of mobile communication devices such as smartphones enables the emergence of context-aware applications and services that pro-actively respond to specific user activities or situations. Context information, i.e., the specific state each user is in, allows communication providers to develop and thus offer new, added-value, services for a wide range of applications such as social networking, advertising, navigation or leisure. Of growing importance are health-related services and applications that rely on the accurate detection of each user’s physical activity either at specific instances or throughout days or even weeks. Using this information it is possible to discover and analyze physical activity patterns and, e.g., help individuals to lead healthier life-styles. At the core of these applications/services is the ability of mobile devices to accurately detect specific physical settings or user contexts, using either internal or external sensors such as accelerometers, GPS, light, image or sound.  Accurately capturing and managing the wealth of sensor data and managing the resulting extracted context information in a meaningful way in the perspective of applications are a substantial technical challenge. If not adequately preprocessed, the raw data these sensors generate, in terms of raw bandwidth, storage and energy consumption, can overwhelm even contemporary high-end mobile devices. Equally critical is the need of low energy consumption and high accuracy in context detection and management of communication, as the required continuous operation can quickly drain mobile energy supplies. False classification of contexts will eventually lead to inconsistent activity monitoring patterns making the development of value-added applications increasingly complex and frustrating to undertake.

The proposed workshop is aligned to the CONTEXTWA (Middleware and Context Inference Techniques from Data-Streams for the Development of Context-Aware Services using Mobile Devices) research project and intends to address the key challenges and enabling techniques for context-aware application development in four major aspects: (1) activity detection techniques focusing on low energy, and high accuracy; (2) context aggregation approaches and algorithms based on statistical classification, to uncover activity patterns; (3) middleware and domain-specific programming environment for the rapid prototyping of context-aware applications; (4) Development of applications and services taking advantage of context information.

List of topics:

  • Context-aware computing, applications and services
  • Languages and tools for developing context-aware systems
  • Middleware for context-aware systems
  • Classification algorithms from data-streams
  • Context identification and user activity recognition from sensing data
  • Contexts and mobile devices
  • Recommendation systems based on context
  • Hardware support for context-aware systems
  • System adaptivity for context-aware systems
  • Energy efficiency in context-aware systems
  • Security aspects for context-aware systems
  • Data collections and benchmarking
  • Virtual and Cloud platforms for context-awareness
  • Context data processing algorithms

Co-located with 19TH IEEE INTERNATIONAL CONFERENCE ON MOBILE DATA MANAGEMENT (MDM 2018)

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