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Expanding the value of scholarly, open access e-journals

Library & Information Science ResearchPublished 18 November 2008
Matt Elbeck, Jean Mandernach
Citations11
SJR quartileQ1
SJR score0.72
SNIP1.57

Abstract

This study was aimed at the development of a non-intrusive, biosensor based, Adaptive Interface Design (AID) that utilizes its users' physical abilities (rather than focusing on their disabilities), while simultaneously honoring their integrity and needs. The target users for this study were patients with arthritis in the hand. The AID comprises of eye tracking and data glove technologies, the latter of which will be used to measure the user's physical ability as it translates hand gestures into computer controls. By developing accessible computer interfaces and exploring their use for telerehabilitation purposes, we want to ultimately impact the inclusion and health outcomes of those who experience disability on a daily basis.

Keywords

Social SciencesDecision SciencesComputer Science