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Assessment of Cognitive skills via Human-robot Interaction and Cloud Computing

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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.

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Acknowledgment

The authors gratefully thank all university staff and students who participated in this study. This work won the IBM Shared University Research (SUR) Award. The work of Daniela Conti and Alessandro Di Nuovo was supported by the European Union’s H2020 research and innovation program under the MSCA-Individual Fellowship grant agreement no. 703489 (CARER-AID). Alessandro Di Nuovo was also partially supported by the EPSRC through project grant EP/P030033/1 (NUMBERS).

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Di Nuovo, A., Varrasi, S., Lucas, A. et al. Assessment of Cognitive skills via Human-robot Interaction and Cloud Computing. J Bionic Eng 16, 526–539 (2019). https://doi.org/10.1007/s42235-019-0043-2

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