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Ambient Interface Design (AID) for the Ergonomically Challenged

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Hegarty, Rosaleen, Lunney, Tom, Curran, K and Mulvenna, Maurice (2010) Ambient Interface Design (AID) for the Ergonomically Challenged. International Journal of Ambient Computing and Intelligence, 2 (2). pp. 57-64. [Journal article]

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DOI: 10.4018/jaci.2010040104

Abstract

Mobile devices offer convenient communication capabilities and have the potential to create intermediary support for the ergonomically challenged user. With the global proliferation of increasing longevity in modern society, assisting the elderly and those living with impediments through human engineering and computing technology is pivotal to biotechnological attainment. To remain independently empowered, seamless integrations through efficient affable interfaces are required to provide sedulous location-independent and appliance-sensitive media viewing for the user. The Ambient Interface Design (AID) system assists with finding personal preferences and also provides a synchronisation framework coordinating connectivity across various environmentally distributed devices via sensor data mapping. Co-operative interface communication coupled with context awareness is abstracted to a representation that facilitates optimisation and customisation to these associated displays. To overcome personal challenges in the efficient selection and acquisition of online information, AID will mediate between the needs of the user and the constraints of the technology to provide a singular customised encapsulation of ‘ability preference and device’ for each authenticated member. A particular emphasis during development is the application of a human-centered design ethos.

Item Type:Journal article
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:17203
Deposited By:Professor Maurice Mulvenna
Deposited On:07 Mar 2011 16:06
Last Modified:07 Mar 2011 16:06

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