Objective: Mild Cognitive Impairment (MCI) is rapidly becoming one of the most common clinical manifestation affecting the elderly. The main aim of the SENIOR Project [SystEm of Nudge theory-based Information and Communications Technology (ICT) applications for OldeR citizens] is the development and validation of a new Nudge theory-based ICT coach system for monitoring and empowering persons with MCI. Methods: a multi-center randomized controlled clinical trial (RCT) involving 200 senior citizens with MCI will be implemented. Online assessment of demographic, psychological, neuropsychological, and behavioral outcomes will be carried out through the user’s device/smartwatch. A machine learning algorithm-based customized profile will elaborate specific nudge-based notifications and suggestions will be provided to the user via SENIOR app. Expected results and conclusions: real-time monitoring and tutoring will decelerate the worsening of clinical condition and will improve the general perceived wellbeing of persons with MCI – also empowering care providers through dissemination of knowledge on the condition functioning and therapy. Moreover, the provision of tailored care actions will contribute to a more sustainable national and local healthcare systems.

Pietrabissa G., Zoppis I., Mauri G., Ghiretti R., Giusti E.M., Cattivelli R., et al. (2019). System of nudge theory-based ICT applications for older citizens: The SENIOR project. Global : Springer Verlag [10.1007/978-3-030-25872-6_3].

System of nudge theory-based ICT applications for older citizens: The SENIOR project

Cattivelli R.;
2019

Abstract

Objective: Mild Cognitive Impairment (MCI) is rapidly becoming one of the most common clinical manifestation affecting the elderly. The main aim of the SENIOR Project [SystEm of Nudge theory-based Information and Communications Technology (ICT) applications for OldeR citizens] is the development and validation of a new Nudge theory-based ICT coach system for monitoring and empowering persons with MCI. Methods: a multi-center randomized controlled clinical trial (RCT) involving 200 senior citizens with MCI will be implemented. Online assessment of demographic, psychological, neuropsychological, and behavioral outcomes will be carried out through the user’s device/smartwatch. A machine learning algorithm-based customized profile will elaborate specific nudge-based notifications and suggestions will be provided to the user via SENIOR app. Expected results and conclusions: real-time monitoring and tutoring will decelerate the worsening of clinical condition and will improve the general perceived wellbeing of persons with MCI – also empowering care providers through dissemination of knowledge on the condition functioning and therapy. Moreover, the provision of tailored care actions will contribute to a more sustainable national and local healthcare systems.
2019
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
29
42
Pietrabissa G., Zoppis I., Mauri G., Ghiretti R., Giusti E.M., Cattivelli R., et al. (2019). System of nudge theory-based ICT applications for older citizens: The SENIOR project. Global : Springer Verlag [10.1007/978-3-030-25872-6_3].
Pietrabissa G.; Zoppis I.; Mauri G.; Ghiretti R.; Giusti E.M.; Cattivelli R.; Spatola C.; Manzoni G.M.; Castelnuovo G.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/924251
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