Automatic Detection of User Abilities through the SmartAbility Framework.

Whittington, P., Dogan, H., Jiang, N. and Phalp, K. T., 2018. Automatic Detection of User Abilities through the SmartAbility Framework. In: The 32nd Human Computer Interaction Conference (British HCI'18), 2-6 July 2018, Belfast.

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Abstract

This paper presents a proposed smartphone application for the unique SmartAbility Framework that supports interaction with technology for people with reduced physical ability, through focusing on the actions that they can perform independently. The Framework is a culmination of knowledge obtained through previously conducted technology feasibility trials and controlled usability evaluations involving the user community. The Framework is an example of ability-based design that focuses on the abilities of users instead of their disabilities. The paper includes a summary of Versions 1 and 2 of the Framework, including the results of a two-phased validation approach, conducted at the UK Mobility Roadshow and via a focus group of domain experts. A holistic model developed by adapting the House of Quality (HoQ) matrix of the Quality Function Deployment (QFD) approach is also described. A systematic literature review of sensor technologies built into smart devices establishes the capabilities of sensors in the Android and iOS operating systems. The review defines a set of inclusion and exclusion criteria, as well as search terms used to elicit literature from online repositories. The key contribution is the mapping of ability-based sensor technologies onto the Framework, to enable the future implementation of a smartphone application. Through the exploitation of the SmartAbility application, the Framework will increase technology amongst people with reduced physical ability and provide a promotional tool for assistive technology manufacturers.

Item Type:Conference or Workshop Item (Speech)
Uncontrolled Keywords:Accelerometer. Assistive Technologies. Disabilities. Gyroscope; People with reduced physical abilities; Sensor Technologies; Smartphone; User Interaction;
Group:Faculty of Science & Technology
ID Code:30955
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:09 Jul 2018 09:05
Last Modified:09 Jul 2018 09:05

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