Author
Listed:
- Alessandra Sorrentino
- Federico Carpi
- Stefano De Gaspari
- Ain Rashid
- Anna ria Monciatti
- Irene Alice Chicchi Giglioli
- Daniele Fiaschi
- Giuseppe Riva
- Filippo Cavallo
Abstract
ObjectivesDigital biorkers are indicators of physiological and behavioral processes, collected from digital devices that are useful for cognitive and physical assessment in older adults. This study focuses on identifying digital biorkers emerging during robotic and virtual reality (VR)-based diagnostics and rehabilitation. It presents findings from a systetic review conducted within the activities of Spoke 9 (Advanced Gerontechnologies for Active and Healthy Ageing) of the Age-It Research Program.MethodsA literature review examined studies on digital biorkers in relation to the technologies of interest, focusing on aging, up to rch 25, 2025. Four hundred seventy-one English-written papers were retrieved; after screening, 19 studies were included. We sumrized them considering the application doin, identifying the corresponding digital biorkers, the target users, and the technology used.ResultsFor cognitive assessment, digital biorkers are used to monitor patient behaviors during clinical tasks that use VR-based technologies and social robots. In VR-based cognitive rehabilitation scenarios, digital biorkers are used to assess the perfornce of task accomplishment. In the physical activity monitoring doin, gait-related parameters are assessed by social robots, while therl cameras are used for thermodynamic analyses. In the physical rehabilitation doin, digital biorkers related to the upper-body motions are usually considered.DiscussionDespite promising results, several improvements are needed. Robotic solutions offer versatility in terms of applications but have low readiness. Similarly, thermodynamic models require strict conditions for reliability. Virtual reality-based cognitive assessment lacks temporal data for better discrimination, and VR-based cognitive rehabilitation is limited by a lack of multimodal stimulation. Future research should address these limitations effectively.
Suggested Citation
Alessandra Sorrentino & Federico Carpi & Stefano De Gaspari & Ain Rashid & Anna ria Monciatti & Irene Alice Chicchi Giglioli & Daniele Fiaschi & Giuseppe Riva & Filippo Cavallo, 2025.
"Leveraging hun–robot interaction and virtual reality for digital biorkers in diagnostics and rehabilitation: a review from the Age-It Research Program,"
The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 80(Supplemen), pages 189-200.
Handle:
RePEc:oup:geronb:v:80:y:2025:i:supplement_2:p:s189-s200.
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:geronb:v:80:y:2025:i:supplement_2:p:s189-s200.. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/psychsocgerontology .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.