Evaluating the Acceptability of Assistive Robots for Early Detection of Mild Cognitive Impairment

Luperto, Matteo; Romeo, Marta; Lunardini, Francesca; Basilico, Nicola; Abbate, Carlo; Jones, Ray; Cangelosi, Angelo; Ferrante, Simona; Borghese, N. Alberto

doi:10.1109/iros40897.2019.8968234

Cited by 15 publications

(17 citation statements)

References 25 publications

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“…Given this result, the functional evaluation of the system architecture was considered successful. A demonstration of the interaction between the VA and TabletWebApp has also been proposed and tested during a series of live sessions [ 32 , 33 ].…”

Section: Resultsmentioning

confidence: 99%

Supervised Digital Neuropsychological Tests for Cognitive Decline in Older Adults: Usability and Clinical Validity Study

Lunardini

Luperto

Romeo

et al. 2020

JMIR Mhealth Uhealth

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Background Dementia is a major and growing health problem, and early diagnosis is key to its management. Objective With the ultimate goal of providing a monitoring tool that could be used to support the screening for cognitive decline, this study aims to develop a supervised, digitized version of 2 neuropsychological tests: Trail Making Test and Bells Test. The system consists of a web app that implements a tablet-based version of the tests and consists of an innovative vocal assistant that acts as the virtual supervisor for the execution of the test. A replay functionality is added to allow inspection of the user’s performance after test completion. Methods To deploy the system in a nonsupervised environment, extensive functional testing of the platform was conducted, together with a validation of the tablet-based tests. Such validation had the two-fold aim of evaluating system usability and acceptance and investigating the concurrent validity of computerized assessment compared with the corresponding paper-and-pencil counterparts. Results The results obtained from 83 older adults showed high system acceptance, despite the patients’ low familiarity with technology. The system software was successfully validated. A concurrent validation of the system reported good ability of the digitized tests to retain the same predictive power of the corresponding paper-based tests. Conclusions Altogether, the positive results pave the way for the deployment of the system to a nonsupervised environment, thus representing a potential efficacious and ecological solution to support clinicians in the identification of early signs of cognitive decline.

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Section: Resultsmentioning

confidence: 99%

Supervised Digital Neuropsychological Tests for Cognitive Decline in Older Adults: Usability and Clinical Validity Study

Lunardini

Luperto

Romeo

et al. 2020

JMIR Mhealth Uhealth

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“…This system does not take in consideration robots as a human supporter. MOVECARE project 3 aims to realize "an innovative multi-actor platform that supports the independent living of the elder at home by monitoring, assisting and promoting activities to counteract physical and cognitive decline and social exclusion" [16][17][18]. The MOVECARE architecture monitors the frailty of the elderly specifically based on criteria identified and discussed by Fried et al [19].…”

Section: Related Workmentioning

confidence: 99%

Agents and robots for collaborating and supporting physicians in healthcare scenarios

Lanza

Seidita

Chella

2020

Journal of Biomedical Informatics

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Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre-including this research content-immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

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“…Naturally, this decision affects the nature of the screening test that accompanies these interfaces because its content should only support voice input and its results should be based on linguistic markers. Other systems, like the ones presented by Di Nuovo et al [11] and Luperto et al [14], utilise some of the modalities mentioned before to combine voice interfaces with other types of interfaces and offer multimodal interaction. Interaction then comes in the form of additional cognitive screening tasks, such as drawing a clock or a path, listening to an audio track or copying a cube, mainly originating from structured and validated cognitive screening tests, such as the Mini-Mental State Examination (MMSE) [24] and the Montreal Cognitive Assessment (MoCA) [25].…”

Section: User Interfacementioning

confidence: 99%

“…The literature review resulted in five modalities that are currently in speech-based systems: IVAs, VAs, socially assistive robots (SAR), audio recorders and telephone audio recorders. IVAs can 'learn' and be trained, thus enabling valuable real-time conversations between the system and the user [4] while VAs and SARs can provide screening tasks, recognise voice commands and facilitate multimodal interaction, as required from structured cognitive screening tests [14,19,23]. Voice recorders and telephones are less technologically advanced devices, which, however, can facilitate a less automated type of interaction that usually requires the assistance from a human screener to administer the cognitive test [12,18].…”

Section: Modalitiesmentioning

confidence: 99%

“…Structured speech-based communication: This type of communication is based on the screener evaluating the screenee on a particular set of predetermined, standardised, and speech-based screening tasks, where specific responses are expected for the screening score to be calculated. Speech-based, structured, and standardised cognitive screening tests, such as the speech-based versions of the MMSE and the MoCA, which ask for specific responses (e.g., what is the year or the season) from the screenee in order to score better, facilitate this type of communication [11,14,19,23]. Unstructured speech-based communication: In this case, the screener and the screenee make conversation about various topics, and the evaluation of the screenee is based on linguistic markers and the quality of the dialogue.…”

Section: Speech-based Communicationmentioning

confidence: 99%

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A Review of Automated Speech-Based Interaction for Cognitive Screening

Boletsis

2020

MTI

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Language, speech and conversational behaviours reflect cognitive changes that may precede physiological changes and offer a much more cost-effective option for detecting preclinical cognitive decline. Artificial intelligence and machine learning have been established as a means to facilitate automated speech-based cognitive screening through automated recording and analysis of linguistic, speech and conversational behaviours. In this work, a scoping literature review was performed to document and analyse current automated speech-based implementations for cognitive screening from the perspective of human–computer interaction. At this stage, the goal was to identify and analyse the characteristics that define the interaction between the automated speech-based screening systems and the users, potentially revealing interaction-related patterns and gaps. In total, 65 articles were identified as appropriate for inclusion, from which 15 articles satisfied the inclusion criteria. The literature review led to the documentation and further analysis of five interaction-related themes: (i) user interface, (ii) modalities, (iii) speech-based communication, (iv) screening content and (v) screener. Cognitive screening through speech-based interaction might benefit from two practices: (1) implementing more multimodal user interfaces that facilitate—amongst others—speech-based screening and (2) introducing the element of motivation in the speech-based screening process.

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Evaluating the Acceptability of Assistive Robots for Early Detection of Mild Cognitive Impairment

Cited by 15 publications

References 25 publications

Supervised Digital Neuropsychological Tests for Cognitive Decline in Older Adults: Usability and Clinical Validity Study

Supervised Digital Neuropsychological Tests for Cognitive Decline in Older Adults: Usability and Clinical Validity Study

Agents and robots for collaborating and supporting physicians in healthcare scenarios

A Review of Automated Speech-Based Interaction for Cognitive Screening

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