ArticleFrontiers in rehabilitation sciences2026
Integration of virtual reality and eye-tracking-based feedback system improves rehabilitation observation skills.
Article in Frontiers in rehabilitation sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Rehabilitation education has traditionally relied on an apprenticeship model, where the acquisition of practical skills, such as the ability to observe subtle patient movements to detect abnormalities, is highly dependent on the tacit knowledge of experienced practitioners. This lack of objective evaluation and standardized education presents a significant challenge. To address this, we integrated virtual reality (VR) and eye-tracking technologies to objectively measure and educate behavioral observation skills. This study aimed to quantitatively verify the educational effectiveness of this approach in novice therapists. Methods: We tested two hypotheses: first, that the integration of VR and eye-tracking can objectively quantify and differentiate the observation skills of expert and novice therapists and second, that feedback education based on this objective data can effectively improve novice skills to an expert level. Using a single-case, multiple-baseline design (A-B design), four novice physical therapy students observed a VR video of a patient with right-sided hemiparesis performing a reaching task. During the intervention, each novice received personalized feedback using their own visual scanning heatmaps compared to the expert average, along with detailed verbal explanations. Results: The novice baseline visual scanning patterns, which showed a concentrated focus on the patient's upper body, were quantitatively distinct from the broad, stable visual scanning patterns of four expert therapists. Through the intervention, data rate (PND) exceeded 70% in many participants and phases, indicating an immediate and powerful effect of the intervention. This improvement was sustained by one-month post-intervention. Concurrently, participants' self-efficacy, feasibility, and social validity scores showed notable increases and high median ratings. Discussion: These results provide the first scientific evidence that an integrated VR and eye-tracking system, offering data-driven feedback, can effectively and lastingly improve rehabilitation observation skills, which have previously been difficult to teach and evaluate.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.