Application of the extended technology acceptance model to explore clinician likelihood to use robotics in rehabilitation of the neurologically impaired upper limb.

Abstract

Rationale, aims and objectives There is a high prevalence of upper limb impairment following a stroke in both the acute and chronic phases of recovery. Evidence suggests that patients do not receive recommended amounts of task specific practice. Robotics provide a potential solution to address this gap but clinical adoption is low. Studies have found that adoption of technology is largely determined by perceived ease of use and perceived usefulness. The aim of this study was to utilise the extended technology acceptance model (TAM2) as a framework to identify factors influencing clinician adoption of a robotic