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Linked Open Data
A pilot screening for cognitive impairment through voice technology (WAY2AGE)
Identificadores del recurso
2050-7283
http://hdl.handle.net/20.500.12466/4236
10.1186/s40359-023-01212-4
Jatorria
(RIUCV: Repositorio de la Universidad Católica de Valencia San Vicente Mártir)

Fitxa

Izenburu:
A pilot screening for cognitive impairment through voice technology (WAY2AGE)
Tema:
Voice-bot
Cognitive impairment
Well-being
Technology adoption
Elderly
61 Psicología
Deskribapen:
Voice technology has grown exponentially, offering an opportunity to different fields, such as the health area. Considering that language can be a sign of cognitive impairment and most screening tools are based on speech measures, these devices are of interest. The aim of this work was to examine a screening tool for Mild Cognitive Impairment (MCI) through voice technology. For this reason, the WAY2AGE voice Bot was tested across Mini-Mental (MMSE) scores. The main results depict a strong relationship between MMSE and WAY2AGE scores, as well as a good AUC value to discriminate between no cognitive impairment (NCI) and MCI groups. However, a relationship between age and WAY2AGE scores, but not between age and MMSE scores, was found. This would indicate that, even if WAY2AGE seems sensitive to detect MCI, the voice tool is age-sensitive and not as robust as the traditional MMSE scale. Future lines of research should look more deeply into parameters that distinguish developmental changes. As a screening tool, these results are of interest for the health area and for at-risk older adults.
This research was funded by the “Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital”, proyecto emergente number: CIGE/2021/051.
Psicología
Idioma:
English
Autor/Productor:
Moret Tatay, María del Carmen
Iborra Marmolejo, Isabel
Jorques Infante, María José
Bernabé Valero, María Gloria
Beneyto Arrojo, María José
Quarti Irigaray, Tatiana
Eskubideak:
Atribución 4.0 Internacional
http://creativecommons.org/licenses/by/4.0/
openAccess
Data:
2024-05-09T11:30:53Z
2023-05-23
Tipo de recurso:
article

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    2. <dc:creator>Moret Tatay, María del Carmen</dc:creator>

    3. <dc:creator>Iborra Marmolejo, Isabel</dc:creator>

    4. <dc:creator>Jorques Infante, María José</dc:creator>

    5. <dc:creator>Bernabé Valero, María Gloria</dc:creator>

    6. <dc:creator>Beneyto Arrojo, María José</dc:creator>

    7. <dc:creator>Quarti Irigaray, Tatiana</dc:creator>

    8. <dc:subject>Voice-bot</dc:subject>

    9. <dc:subject>Cognitive impairment</dc:subject>

    10. <dc:subject>Well-being</dc:subject>

    11. <dc:subject>Technology adoption</dc:subject>

    12. <dc:subject>Elderly</dc:subject>

    13. <dc:subject>61 Psicología</dc:subject>

    14. <dc:description>Voice technology has grown exponentially, offering an opportunity to different fields, such as the health area. Considering that language can be a sign of cognitive impairment and most screening tools are based on speech measures, these devices are of interest. The aim of this work was to examine a screening tool for Mild Cognitive Impairment (MCI) through voice technology. For this reason, the WAY2AGE voice Bot was tested across Mini-Mental (MMSE) scores. The main results depict a strong relationship between MMSE and WAY2AGE scores, as well as a good AUC value to discriminate between no cognitive impairment (NCI) and MCI groups. However, a relationship between age and WAY2AGE scores, but not between age and MMSE scores, was found. This would indicate that, even if WAY2AGE seems sensitive to detect MCI, the voice tool is age-sensitive and not as robust as the traditional MMSE scale. Future lines of research should look more deeply into parameters that distinguish developmental changes. As a screening tool, these results are of interest for the health area and for at-risk older adults.</dc:description>

    15. <dc:description>This research was funded by the “Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital”, proyecto emergente number: CIGE/2021/051.</dc:description>

    16. <dc:description>Psicología</dc:description>

    17. <dc:date>2024-05-09T11:30:53Z</dc:date>

    18. <dc:date>2024-05-09T11:30:53Z</dc:date>

    19. <dc:date>2023-05-23</dc:date>

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    21. <dc:identifier>2050-7283</dc:identifier>

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    24. <dc:language>eng</dc:language>

    25. <dc:rights>Atribución 4.0 Internacional</dc:rights>

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      3. <dc:creator>Jorques Infante, María José</dc:creator>

      4. <dc:creator>Bernabé Valero, María Gloria</dc:creator>

      5. <dc:creator>Beneyto Arrojo, María José</dc:creator>

      6. <dc:creator>Quarti Irigaray, Tatiana</dc:creator>

      7. <dc:date>2023-05-23</dc:date>

      8. <dc:description>Voice technology has grown exponentially, offering an opportunity to different fields, such as the health area. Considering that language can be a sign of cognitive impairment and most screening tools are based on speech measures, these devices are of interest. The aim of this work was to examine a screening tool for Mild Cognitive Impairment (MCI) through voice technology. For this reason, the WAY2AGE voice Bot was tested across Mini-Mental (MMSE) scores. The main results depict a strong relationship between MMSE and WAY2AGE scores, as well as a good AUC value to discriminate between no cognitive impairment (NCI) and MCI groups. However, a relationship between age and WAY2AGE scores, but not between age and MMSE scores, was found. This would indicate that, even if WAY2AGE seems sensitive to detect MCI, the voice tool is age-sensitive and not as robust as the traditional MMSE scale. Future lines of research should look more deeply into parameters that distinguish developmental changes. As a screening tool, these results are of interest for the health area and for at-risk older adults.</dc:description>

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      12. <dc:subject>Cognitive impairment</dc:subject>

      13. <dc:subject>Well-being</dc:subject>

      14. <dc:subject>Technology adoption</dc:subject>

      15. <dc:subject>Elderly</dc:subject>

      16. <dc:subject>61 Psicología</dc:subject>

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