SmartDisability: A Smart System of Systems approach to Disability

This source preferred by Huseyin Dogan

Authors: Whittington, P. and Dogan, H.

http://eprints.bournemouth.ac.uk/24749/

Start date: 12 June 2016

ISBN: 9781467387279

DOI: 10.1109/SYSOSE.2016.7542943

This data was imported from Scopus:

Authors: Whittington, P. and Dogan, H.

http://eprints.bournemouth.ac.uk/24749/

Journal: 2016 11th Systems of Systems Engineering Conference, SoSE 2016

ISBN: 9781467387279

DOI: 10.1109/SYSOSE.2016.7542943

© 2016 IEEE. This paper introduces the SmartDisability Framework; a System of Systems to consider mappings between the Disability Types, Range of Movement and Interaction Mediums to produce Technology and Task recommendations. Each element is seen as a constituent system that relies on interaction between the user and technology. The recommended technologies are viewed as independent and operable constituent systems that are networked together to assist people with disability. The SmartDisability conceptual model (based on the familiar disability symbol) and extracts from the initial development stage of the framework are presented. The framework has been populated through a systematic literature review of disability classification, Range of Movement, interaction mediums, 'off-The-shelf' technologies and tasks. The framework was augmented by the results of a previously conducted requirements elicitation process, involving surveys and semi-structured interviews, and a user evaluation with head tracking technology. Quality Function Deployment determined the relationships within the framework to ensure that user requirements were fully analysed. The anticipated validation process involving a focus group utilising fictional personas and routes to exploitation (through the development of an application) are also discussed.

This data was imported from Web of Science (Lite):

Authors: Whittington, P., Dogan, H. and IEEE

http://eprints.bournemouth.ac.uk/24749/

Journal: 2016 11TH SYSTEMS OF SYSTEM ENGINEERING CONFERENCE (SOSE), IEEE

The data on this page was last updated at 04:42 on September 22, 2017.