Social robots as psychometric tools for cognitive assessment: a pilot test

VARRASI, Simone, DI NUOVO, Santo, CONTI, Daniela and DI NUOVO, Alessandro (2018). Social robots as psychometric tools for cognitive assessment: a pilot test. In: FICUCIELLO, Fanny, RUGGIERO, Fabio and FINZI, Alberto, (eds.) Human friendly robotics : 2017 international workshop. Springer Proceedings in Advanced Robotics (7). Cham, Springer.

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Link to published version:: https://doi.org/10.1007/978-3-319-89327-3_8

Abstract

Recent research demonstrated the benefits of employing robots as therapeutic assistants and caregivers, but very little is known on the use of robots as a tool for psychological assessment. Socially capable robots can provide many advantages to diagnostic practice: engage people, guarantee standardized administration and assessor neutrality, perform automatic recording of subject behaviors for further analysis by practitioners. In this paper, we present a pilot study on testing people’s cognitive functioning via social interaction with a humanoid robot. To this end, we programmed a social robot to administer a psychometric tool for detecting Mild Cognitive Impairment, a risk factor for dementia, implementing the first prototype of robotic assistant for mass screening of elderly population. Finally, we present a pilot test of the robotic procedure with healthy adults that show promising results of the robotic test, also compared to its traditional paper version.

Item Type: Book Section
Additional Information: Series ISSN : 2511-1256
Research Institute, Centre or Group: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Materials and Engineering Research Institute > Centre for Automation and Robotics Research > Mobile Machine and Vision Laboratory
Departments: Faculty of Science, Technology and Arts > Department of Computing
Identification Number: https://doi.org/10.1007/978-3-319-89327-3_8
Depositing User: Alessandro Di Nuovo
Date Deposited: 05 Jun 2018 10:55
Last Modified: 14 Jan 2019 15:15
URI: http://shura.shu.ac.uk/id/eprint/19162

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