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Related Experiment Video

Updated: Aug 27, 2025

Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes
04:49

Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes

Published on: September 6, 2024

844

Extended Interviews with Stroke Patients Over a Long-Term Rehabilitation Using Human-Robot or Human-Computer

Yaacov Koren1, Ronit Feingold Polak2, Shelly Levy-Tzedek2,3,4

  • 1Department of Sociology and Anthropology, Tel-Aviv University, Tel-Aviv, Israel.

International Journal of Social Robotics
|September 26, 2022
PubMed
Summary
This summary is machine-generated.

Socially assistive robots (SARs) enhance stroke rehabilitation by improving patient trust. Factors like age and gender influence acceptance, with patients valuing SARs

Keywords:
In the wildLong-term interactionQualitative methodsSocially assistive robot (SAR)Stroke rehabilitationTrust

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Area of Science:

  • Human-Robot Interaction
  • Rehabilitation Technologies
  • Stroke Recovery

Background:

  • Socially assistive robots (SARs) are explored for post-stroke exercise assistance.
  • Trust is a critical factor in human-robot interaction for rehabilitation.
  • Long-term patient experience is key to understanding trust in assistive platforms.

Purpose of the Study:

  • To identify and characterize factors influencing stroke patients' trust in robot-operated vs. computer-operated rehabilitation platforms.
  • To explore user perspectives on trust during and after long-term rehabilitation.
  • To assess the added value of SARs compared to standard computer interfaces in stroke care.

Main Methods:

  • Qualitative research using extended "in the wild" interviews.
  • 29 interviews with 16 stroke patients undergoing long-term rehabilitation (5-7 weeks/patient).
  • Analysis of patient perspectives on trust in SARs and computer interfaces.

Main Results:

  • Personal characteristics (age, gender) affect acceptance of non-human operators.
  • SARs offer added value in rehabilitative care beyond standard computers.
  • SAR group patients preferred functional performance over social skills; Computer group patients valued memory training.

Conclusions:

  • SARs can augment traditional rehabilitative therapies for stroke patients.
  • Patient trust in rehabilitation technology is influenced by a combination of factors.
  • Understanding user preferences is crucial for optimizing robot-assisted rehabilitation design.