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The aim of this study was to consider the potential uses of human error identification (HEI) techniques in the development of a Personal Healthcare System (PHS) capable of delivering cognitive rehabilitation of activities of daily living (ADL) for stroke patients with limb apraxia (i.e., CogWatch). HEI techniques were able to predict a number of apraxic errors, as well as the associated consequences. The results of the present study indicate that HEI analysis is a useful tool in the design of cognitive systems that seek to reduce or eliminate errors in apraxic populations. The results will be implemented in the CogWatch system and will be used to develop error reduction strategies that prevent errors from occurring, and to provide post-error feedback to help the user correct their actions.

Application of Human Error Identification (HEI) Techniques to Cognitive Rehabilitation in Stroke Patients with Limb Apraxia