Business from technology

Context adaptive user interaction technologies

Competences

VTT has extraordinary talented interdisciplinary research competences employed in R&D focusing on:

• Energy- and resource-efficient context-aware mobile computing
  
• Algorithms for context recognition and UI adaptation
  
• Mobile platforms
  
• Microservice technologies and platforms
  
• Distributed intelligence and decision making
  
• Activity recognition of mobile device users with sensor fusion
  
• Context mashups
  

The objective of the research is to provide added value to customers’ solutions in a wide area of application domains.

Key Research Challenges 2009

Key research challenges are related to platform-specific, overall real-time operating efficiency and creating a pleasant end-user experience of mobile context-aware computing research innovations.

Particular research questions include, how to enable some of the following features:

• Reliable multisource context awareness for mobile devices
  
• Low cost, energy efficient processing of rich context information on smartphones
  
• Enjoyable context adaptive UI for multitude of mobile platforms
  
• Context-aware microservices
  
• “couple-click” microservice creation
  
• Collaborative context recognition.
  

Solutions

Research provides solutions for enabling:

• Advanced context processing algorithms
  
• Networked Context Awareness
  
• Solutions for balancing context processing between mobile peers and server side
  
• Mobile microservice platforms
  
• Collective Creation of microservices
  

Benefits

• Increased real time context-based performance of mobile terminals, reliable and effective context recognition
  
• Increased context awareness of mobile devices to be applicable for a wide range of novel service and application concepts
  
• Enjoyable end user experience for context based mobile systems.
  

Ongoing Projects

• COPE – EC-FP7, Common Operational Picture Exploitation. The objective of the project is to create technological solutions which enable improved civil crisis management by better command and control performance, improved reliability, and reduced costs. The aim is to create technological solutions that increase situational awareness among agencies and enhance both horizontal and vertical information flow to and from a first responder.
  
• SmartProducts – EC-FP7, The project is developing smart products embedded with proactive knowledge, enabling novel products to communicate and co-operate with humans, other products and the environment.
  
• mCiudad – EC-FP7, m:Ciudad is developing technology for the user-friendly creation of tools in the mobile, an optimised mobile execution environment, a model for knowledge warehouse, a proposed specific search engine and a set of business models for users, service providers and third parties, mainly SMEs. m:Ciudad is a service architecture, a set of mobile tools and a platform to allow users to create focused, knowledge-based mobile micro-services, which are called m:Ciudad U+ Service.
  
• Ramose – TEKES, TEKES-funded national strategic research project on distributed data processing and decision making and interconnected micro services for small wireless embedded SW devices.
  
• EXPESHARE – ITEA, ExpeShare develops concepts and technologies that help people share multimedia content and experiences with each other. The project is also developing peer-to-peer networking technologies and new interaction concepts for managing content and communities, and for facilitating rendering of the content on a variety of devices
  
• ROADIDEA – EC-FP7, ROADIDEA is studying the innovation potential of the European ITS sector by analysing available data sources, revealing existing problems and bottlenecks for data utilisation and service build-up. ROADIDEA also makes an effort to develop better methods and models to be utilised in different service platforms.
  
• Callas - EC - FP6. The project is developing methods for human emotion recognition using non-contact technologies and also studying how to use human emotions for improving everyday life experiences.
  
• Cantata - ITEA. The project is developing methods for the analysis of multimedia content, for example, for the semi-automatic annotation of user-created content and the classification of TV programs.