Auto-Adaptive Interactive Systems for Active and Assisted Living Applications

  • João Quintas
  • Paulo Menezes
  • Jorge Dias
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 470)


The objective of this work is of improving the efficacy, acceptance, adaptability and overall performance of Human-Machine Interaction (HMI) applications using a context-based approach. In HMI, we aim to define a general human model that may lead to principles and algorithms allowing more natural and effective interaction between humans and artificial agents. This is paramount for applications in the field of Active and Assisted Living (AAL). The challenge of user acceptance is of vital importance for future solutions, and still one of the major reasons for reluctance to adopt cyber-physical systems in this domain. Our hypothesis is that, we can overcome limitations of current interaction functionalities by integrating contextual information to improve algorithms accuracy when performing under very different conditions and to adapt interfaces and interaction patterns according user intentions and emotional states.


Human-machine interaction Context Active and Assisted Living Social agents Adaptive systems 


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Copyright information

© IFIP International Federation for Information Processing 2016

Authors and Affiliations

  1. 1.Laboratory of Automatic and SystemsInstituto Pedro NunesCoimbraPortugal
  2. 2.Department of Electrical and Computer EngineeringUniversity of CoimbraCoimbraPortugal
  3. 3.Khalifa University of Science and Technology and ResearchAbu DhabiUAE

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