Evidence map›Paper›PMID 41442756›Full record

SynthesisThe journals of gerontology. Series B, Psychological sciences and social sciences2025

Leveraging human-robot interaction and virtual reality for digital biomarkers in diagnostics and rehabilitation: a review from the Age-It Research Program.

Alessandra Sorrentino, Federico Carpi, Stefano De Gaspari, Aiman Rashid, Anna Maria Monciatti, Irene Alice Chicchi Giglioli, Daniele Fiaschi, Giuseppe Riva, Filippo Cavallo

Abstract readSystematic Review
In one paragraph

Synthesis in The journals of gerontology. Series B, Psychological sciences and social sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Aging well in an aging society: Italy at the forefront of global aging and the Age-It Research Program.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
    Article
  2. Positive demography: changing the perspective on population aging from the Age-It Research Program.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Alessandra SorrentinoDepartment of Industrial Engineering, University of Florence, Florence, Italy.
Federico CarpiDepartment of Industrial Engineering, University of Florence, Florence, Italy.
Stefano De GaspariDepartment of Psychology and Humane Technology Lab, Università Cattolica del Sacro Cuore, Milan, Italy.
Aiman RashidDepartment of Industrial Engineering, University of Florence, Florence, Italy.ORCID 0000-0001-9907-5085
Anna Maria MonciattiDepartment of Industrial Engineering, University of Florence, Florence, Italy.
Irene Alice Chicchi GiglioliDepartment of Psychology and Humane Technology Lab, Università Cattolica del Sacro Cuore, Milan, Italy.
Daniele FiaschiDepartment of Industrial Engineering, University of Florence, Florence, Italy.
Giuseppe RivaDepartment of Psychology and Humane Technology Lab, Università Cattolica del Sacro Cuore, Milan, Italy.
Filippo CavalloDepartment of Industrial Engineering, University of Florence, Florence, Italy.ORCID 0000-0001-7432-5033

Funding

Age-It-Ageing well in an ageing society PE0000015European CommissionNational Recovery and Resilience PlanNext Generation EU
6 · The paper itself

Abstract

objectivesDigital biomarkers 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 biomarkers emerging during robotic and virtual reality (VR)-based diagnostics and rehabilitation. It presents findings from a systematic 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 biomarkers in relation to the technologies of interest, focusing on aging, up to March 25, 2025. Four hundred seventy-one English-written papers were retrieved; after screening, 19 studies were included. We summarized them considering the application domain, identifying the corresponding digital biomarkers, the target users, and the technology used.

resultsFor cognitive assessment, digital biomarkers are used to monitor patient behaviors during clinical tasks that use VR-based technologies and social robots. In VR-based cognitive rehabilitation scenarios, digital biomarkers are used to assess the performance of task accomplishment. In the physical activity monitoring domain, gait-related parameters are assessed by social robots, while thermal cameras are used for thermodynamic analyses. In the physical rehabilitation domain, digital biomarkers related to the upper-body motions are usually considered. DISCUSSION: Despite 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.

Indexed as

AgingRoboticsVirtual RealityAgedBiomarkersHumansBiomarkersBiomarkerCognitive and physical assessment and rehabilitationDigital healthGerontechnologyHuman machine interaction

Identifiers

PMID41442756
PMCPMC12776604

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.