Self-adaptive application for indoor wayfinding for individuals with cognitive impairments

Basel Magableh, Stephen Barrett

Research output: Contribution to journalArticlepeer-review

Abstract

This article focuses on describing a Model Driven Archi- tecture (COCA-MDA) approach that facilitates the develop- ment of self-adaptive application for indoor wayfinding for individuals with cognitive impairments. COCA-MDA pro- vides the following benefits: 1) It enables the architecture to anticipate several behavioural variations based on the context and the specific needs of the individuals with cog- nitive impairments. 2) It enables the application to proac- tively anticipate or reactively address unforeseen changes through support by a dynamic-decision making and policy framework. The policy framework is based on a stable de- scription of software models and proprieties. 3) It can de- compose the application into several architectural units to allow developers to decide which part of the architecture should be notified when a specific context condition occurs.
Original languageEnglish
Pages (from-to)45-49
JournalThe 24th IEEE International Symposium on Computer-Based Medical Systems, ser. CBMS 2011
Volume1
DOIs
Publication statusPublished - 1 Sep 2011
Externally publishedYes

Keywords

  • Model Driven Architecture
  • COCA-MDA
  • self-adaptive application
  • indoor wayfinding
  • cognitive impairments
  • dynamic-decision making
  • policy framework
  • software models
  • architectural units

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