Auto-Adaptive Interactive Systems for Active and Assisted Living Applications - Technological Innovation for Cyber-Physical Systems Access content directly
Conference Papers Year : 2016

Auto-Adaptive Interactive Systems for Active and Assisted Living Applications

João Quintas
  • Function : Author
  • PersonId : 998604
Paulo Menezes
  • Function : Author
  • PersonId : 998605

Abstract

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.
Fichier principal
Vignette du fichier
419233_1_En_17_Chapter.pdf (442.27 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01438240 , version 1 (17-01-2017)

Licence

Attribution

Identifiers

Cite

João Quintas, Paulo Menezes, Jorge Dias. Auto-Adaptive Interactive Systems for Active and Assisted Living Applications. 7th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2016, Costa de Caparica, Portugal. pp.161-168, ⟨10.1007/978-3-319-31165-4_17⟩. ⟨hal-01438240⟩
70 View
87 Download

Altmetric

Share

Gmail Facebook X LinkedIn More