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[2019-Vol.16-Issue 3]Assessment of Cognitive skills via Human-robot Interaction and Cloud Computing
Post: 2019-06-10 10:47  View:2522

Journal of Bionic Engineering

May 2019, Volume 16, Issue 3, pp 526–539| Cite as

Alessandro Di NuovoEmail authorSimone VarrasiAlexandr LucasDaniela ContiJohn McNamaraAlessandro Soranzo

1.Sheffield Hallam UniversitySheffieldUnited Kingdom

2.IBM Hursley LabWinchesterUnited Kingdom

Abstract

Technological advances are increasing the range of applications for artificial intelligence, especially through its embodiment within humanoid robotics platforms. This promotes the development of novel systems for automated screening of neurological conditions to assist the clinical practitioners in the detection of early signs of mild cognitive impairments. This article presents the implementation and the experimental validation of the first robotic system for cognitive assessment, based on one of the most popular platforms for social robotics, Softbank “Pepper”, which administers and records a set of multi-modal interactive tasks to engage the user cognitive abilities. The robot intelligence is programmed using the state-of-the-art IBM Watson AI Cloud services, which provide the necessary capabilities for improving the social interaction and scoring the tests. The system has been tested by healthy adults (N = 35) and we found a significant correlation between the automated scoring and one of the most widely used Paper-and-Pencil tests. We conclude that the system can be considered as a screening instrument for cognitive assessment.

Keywords

socially assistive robotics brief cognitive testing human-robot interaction neurological screening cloud computing 

Full text is available at :

https://link.springer.com/article/10.1007/s42235-019-0043-2

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