Developing Socially Assistive Robots that can Deliver Cognitive Assessments in Care Settings

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Developing Socially Assistive Robots that can Deliver Cognitive Assessments in Care Settings

Supervisor: Prof Lynne Baillie

Current assessment methods have subjective measures to assess cognition. For example, the CAM-ICU uses the Richmond Agitation Sedation Scale (RASS) which is a subjective measure of the patient’s agitation level. The assessment is subjective and the outcomes different based on who administers the test. The aim of this PhD is to develop and evaluate a novel system for early assessment of the CAM-ICU or similar cognition tests (e.g. 4AT) in vulnerable populations, such as those receiving care in the ICU or assistive living care homes, facilitated by socially assistive robots and Machine Learning. Please don’t hesitate to contact me at l.baillie@hw.ac.uk for an informal discussion about this project and how our interests fit together.