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

Author

Magableh, Basel ; Barrett, Stephen

Author_Institution

Distrib. Syst. Group, Trinity Coll. Dublin, Dublin, Ireland

fYear

2011

fDate

27-30 June 2011

Firstpage

1

Lastpage

6

Abstract

This article focuses on describing a Model Driven Architecture (COCA-MDA) approach that facilitates the development of self-adaptive application for indoor wayfinding for individuals with cognitive impairments. COCA-MDA provides 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 cognitive impairments. 2) It enables the application to proactively anticipate or reactively address unforeseen changes through support by a dynamic-decision making and policy framework. The policy framework is based on a stable description of software models and proprieties. 3) It can decompose 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.

Keywords

cognition; decision making; handicapped aids; indoor radio; mobile computing; object-oriented programming; software architecture; COCA-MDA approach; cognitive impairments; dynamic-decision making; indoor wayfinding; model driven architecture; policy framework; self-adaptive application; software models; Adaptation models; Analytical models; Computer architecture; Context; Context modeling; Middleware; Monitoring;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Based Medical Systems (CBMS), 2011 24th International Symposium on

Conference_Location

Bristol

ISSN

1063-7125

Print_ISBN

978-1-4577-1189-3

Type

conf

DOI

10.1109/CBMS.2011.5999159

Filename

5999159