Author/Editor     Jenko, Mojca; Vidmar, Gaj; Matjačić, Zlatko; Zupan, Anton
Title     Choosing an appropriate computer access assistive technology for users with muscular and neuromuscular diseases
Type     članek
Source     In: Gelderblom GJ, editor. Everyday technology for independence and care: AAATE 2011. Amsterdam: IOS Press,
Publication year     2011
Volume     str. 1132-40
Language     eng
Abstract     Objective. In clinical rehabilitation practice, assistive technology (AT) is chosen for each individual efficiently by a skilled multidisciplinary team. Due to demographic and societal changes in the developed world, these professionals are overloaded, so the selection more and more often has to be performed within an unskilled team. The process of selection can be time and resource consuming, as - among other issues - it is not clear what is the learning period required for use of a given AT. Hence, the article presents a study of a new approach to test and select appropriate computer access AT (CAT) for people with motor impairments based on the learning process. Methods. Six user interfaces (keyboard, small and large joystick, small and large trackball, and a head-operated mouse and keyboard) were tested on 92 users, of whom 63 were patients with muscular or neuromuscular diseases. We developed and used purpose-built software for testing sentence typing. We tested different criteria for selecting the optimal CAT and compared the results with the skilled clinician's choice. Results. The learning curves of the people with motor impairments closely resembled those of the healthy controls, although with lower performance. Daily computer use was not associated with CAT selection, but corresponded nearly perfectly to the level of functional ability of upper limbs. Agreement between clinician's choice and learning-based CAT selection was noteworthy, but far from perfect. If partial agreement was taken into account, i.e., CAT was considered as ordinal variable based on corresponding functional ability level, and the second best learning-based choice was taken into account if agreeing with the clinician's choice, the agreement was high for highest median speed as the CAT selection criterion. We also analyzed the mistakes made during the typing task. (Abs. trunc. at 2000 ch.)
Descriptors     SELF-HELP DEVICES
COMPUTERS