ArticleInternational journal of social robotics2022
Extended Interviews with Stroke Patients Over a Long-Term Rehabilitation Using Human-Robot or Human-Computer Interactions.
Article in International journal of social robotics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Effectiveness of intelligent robotic-assisted training system combined with repetitive facilitative exercise on upper limb motor function after stroke: a randomized controlled trial.BMC sports science, medicine & rehabilitation · 2025Article
- Technology Acceptance and Usability of a Therapy System with a Humanoid Robot Serving as Therapeutic Assistant for Post-Stroke Arm and Neurovisual Rehabilitation-An Evaluation Based on Stroke Survivors' Experience.Biomimetics (Basel, Switzerland) · 2025Article
- Technology Acceptance Model for Exoskeletons for Rehabilitation of the Upper Limbs from Therapists' Perspectives.Sensors (Basel, Switzerland) · 2023Article
- Feasibility, coverage, and inter-rater reliability of the assessment of therapeutic interaction by a humanoid robot providing arm rehabilitation to stroke survivors using the instrument THER-I-ACT.Frontiers in robotics and AI · 2023Article
- Analysis of the therapeutic interaction provided by a humanoid robot serving stroke survivors as a therapeutic assistant for arm rehabilitation.Frontiers in robotics and AI · 2023Article
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Authors and funding
3 authors.
Funding
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Abstract
Socially assistive robots (SARs) have been proposed to assist post-stroke patients in performing their exercise during their rehabilitation process, with the trust in the robot identified as an important factor in human-robot interaction. In the current study, we aimed to identify and characterize factors that influence post-stroke patients' trust in a robot-operated and a computer-operated rehabilitation platform during and after a long-term experience with the platform. We conducted 29 interviews with 16 stroke patients who underwent a long-term rehabilitation process, assisted by either a SAR or a computer interface. The intervention lasted 5-7 weeks per patient, for a total of 229 sessions over 18 months. By using a qualitative research method-extended interviews "in the wild" with stroke patients, over a long-term rehabilitation process-our study reveals users' perspectives regarding factors affecting trust in the SAR or in the computer interface during their rehabilitation process. The results support the assertion that SARs have an added value in the rehabilitative care of stroke patients; It appears that personal characteristics, such as age and gender, have an effect on the users' acceptance of a non-human operator as a practice assistant. Our findings support the notion that SARs augment rehabilitative therapies beyond a standard computer; Importantly, patients appreciated different aspects of the non-human operator in the two groups: In the SAR group, users preferred its functional performance over its anthropomorphized social skills; In the Computer group, users highlighted its contribution to the training of their memory skills. Supplementary Information: The online version contains supplementary material available at 10.1007/s12369-022-00909-7.
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