VARRASI, Simone, LUCAS, Alexandr, SORANZO, Alessandro, MCNAMARA, John and DI NUOVO, Alessandro (2018). IBM Cloud Services enhance automatic cognitive assessment via human-robot interaction. In: WENGER, P., CHEVALLEREAU, C., PISLA, D., BLEULER, H. and RODIC, A., (eds.) New trends in medical and service robotics : advances in theory and practice. Mechanisms and Machine Science, 65 . Netherlands, Springer, 165-176.
|
PDF
IBM Cloud Services Enhance Automatic Cognitive Assessment via HRI.pdf - Accepted Version All rights reserved. Download (761kB) | Preview |
Abstract
Thanks to recent developments in artificial intelligence and social robotics, Hu-man-Robot Interaction (HRI) can be used as a non-invasive screening tool for the assessment of cognitive decline. In this scenario, the robot manages the assess-ment by providing the instructions to the patient, registering his/her answers and objectively calculating the final score. This service can help to save time and reach a wider population. From the technical point of view, a challenge is to achieve a highly reliable speech and visual recognition as required for a valid scor-ing of performance. In this article, we evaluate a system for cognitive assessment that makes use of the IBM AI Cloud services embodied in one of the most popular platforms for social robotics: the SoftBank Pepper. Results of a pilot study with 16 human par-ticipants shows that IBM Cloud services for speech and visual recognition can improve the system performance in comparison with standard interfaces. Im-portantly, the improvement allows achieving a significant correlation with one of the most used paper-and-pencil tests and, therefore, the study demonstrates the validity of the robotic approach for cognitive assessment
Item Type: | Book Section |
---|---|
Additional Information: | From 6-th International Workshop on New Trends in Medical and Service Robotics MESROB 2018 Series ISSN: 2211-0984 |
Research Institute, Centre or Group - Does NOT include content added after October 2018: | Cultural Communication and Computing Research Institute > Communication and Computing Research Centre Psychology Research Group |
Departments - Does NOT include content added after October 2018: | Faculty of Science, Technology and Arts > Department of Computing Faculty of Social Sciences and Humanities > Department of Psychology, Sociology and Politics |
Identification Number: | https://doi.org/10.1007/978-3-030-00329-6_20 |
Page Range: | 165-176 |
Depositing User: | Alessandro Soranzo |
Date Deposited: | 05 Jun 2018 09:31 |
Last Modified: | 17 Mar 2021 15:01 |
URI: | https://shura.shu.ac.uk/id/eprint/21296 |
Actions (login required)
View Item |
Downloads
Downloads per month over past year