Crowe Simon F, Mahony Kate, Jackson Martin
School of Psychological Science, Faculty of Science, Engineering and Technology, La Trobe University, Bundoora, Vic. 3086, Australia.
Arch Clin Neuropsychol. 2004 Aug;19(5):673-91. doi: 10.1016/j.acn.2003.09.002.
The purpose of the current study was to explore whether performance on standardised neuropsychological measures could predict functional ability with automated machines and services among people with an acquired brain injury (ABI). Participants were 45 individuals who met the criteria for mild, moderate or severe ABI and 15 control participants matched on demographic variables including age- and education. Each participant was required to complete a battery of neuropsychological tests, as well as performing three automated service delivery tasks: a transport automated ticketing machine, an automated teller machine (ATM) and an automated telephone service. The results showed consistently high relationship between the neuropsychological measures, both as single predictors and in combination, and level of competency with the automated machines. Automated machines are part of a relatively new phenomena in service delivery and offer an ecologically valid functional measure of performance that represents a true indication of functional disability.
本研究的目的是探讨标准化神经心理学测量的表现能否预测获得性脑损伤(ABI)患者使用自动化机器和服务的功能能力。参与者包括45名符合轻度、中度或重度ABI标准的个体,以及15名在年龄和教育等人口统计学变量上匹配的对照参与者。每位参与者都需要完成一系列神经心理学测试,并执行三项自动化服务任务:交通自动售票机、自动取款机(ATM)和自动电话服务。结果表明,无论是作为单一预测指标还是综合起来,神经心理学测量与使用自动化机器的能力水平之间始终存在高度相关性。自动化机器是服务提供中一种相对较新的现象的一部分,并且提供了一种生态效度高的功能表现测量方法,它代表了功能残疾的真实指标。