Age, Motor Function, and Cognitive Function Influence Preferences for Telerehabilitation Mediated by a Social Robot Augmented With Telepresence

Social robot augmented telepresence (SRAT) is a potential approach to provide rehabilitative care to remote patients, while overcoming barriers to physical clinician-patient interaction. This study evaluated the preference of the subjects, stratified by age, motor impairment level and cognitive impairment level, for three modes of rehabilitation care delivery: face-to-face (FTF), classical telepresence (CT), and via social robot-augmented classical telepresence (SRAT). Forty-two participants completed the experiment that included assessments of upper-limb motor function and cognitive function followed by simulated rehabilitation interaction sessions, where the FTF interaction was the first, followed by CT and SRAT interactions in randomized order. Participants completed surveys on their impression and experience receiving simulated care in each mode. Survey responses were analyzed using descriptive statistics and regression methods. Although in-person interaction (FTF) was the preferred option, 71% of subjects enjoyed and preferred SRAT over CT and this preference was mediated by age and severity of motor and cognitive impairment. Our analysis suggests that young children will rank SRAT above CT except for when they have severe cognitive impairment, adults will prefer SRAT less as their upper-limb impairment becomes more severe, and adults over 70 years old will prefer SRAT less if they have moderate to no upper-limb motor impairment and no cognitive impairment.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Published
2025-01-01
DOI
https://doi.org/10.1109/tnsre.2025.3592020
Primary Topic
Stroke Rehabilitation and Recovery
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Age, Motor Function, and Cognitive Function Influence Preferences for Telerehabilitation Mediated by a Social Robot Augmented With Telepresence

Sydney M. Evans, Michael J. Sobrepera, Ajay Anand, Laura A. Prosser et al.
1 links
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Stroke Rehabilitation and Recovery
article

Age, Motor Function, and Cognitive Function Influence Preferences for Telerehabilitation Mediated by a Social Robot Augmented With Telepresence

Sydney M. Evans, Michael J. Sobrepera, Ajay Anand, Laura A. Prosser, Michelle Jillian Johnson, Anh Nguyen
article en

Abstract

Social robot augmented telepresence (SRAT) is a potential approach to provide rehabilitative care to remote patients, while overcoming barriers to physical clinician-patient interaction. This study evaluated the preference of the subjects, stratified by age, motor impairment level and cognitive impairment level, for three modes of rehabilitation care delivery: face-to-face (FTF), classical telepresence (CT), and via social robot-augmented classical telepresence (SRAT). Forty-two participants completed the experiment that included assessments of upper-limb motor function and cognitive function followed by simulated rehabilitation interaction sessions, where the FTF interaction was the first, followed by CT and SRAT interactions in randomized order. Participants completed surveys on their impression and experience receiving simulated care in each mode. Survey responses were analyzed using descriptive statistics and regression methods. Although in-person interaction (FTF) was the preferred option, 71% of subjects enjoyed and preferred SRAT over CT and this preference was mediated by age and severity of motor and cognitive impairment. Our analysis suggests that young children will rank SRAT above CT except for when they have severe cognitive impairment, adults will prefer SRAT less as their upper-limb impairment becomes more severe, and adults over 70 years old will prefer SRAT less if they have moderate to no upper-limb motor impairment and no cognitive impairment.

IEEE Transactions on Neural Systems and Rehabilitation EngineeringVol. 33
Children's Hospital of Philadelphia (US), Robotics Research (United States) (US), University of Pennsylvania (US), Philadelphia University (US)
University of Pennsylvania, National Institutes of Health, National Institute of Child Health and Human Development, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Reduced inequalities
Openalex Percentile: Top 77%
Stroke Rehabilitation and Recovery
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.