Evaluation of Locomotion Methods in Virtual Reality Navigation Environments: An Involuntary Position Shift and Task Performance

As the complexity of aircraft cockpit operations increases, training effectiveness must be improved, and learning accelerated. Virtual reality (VR) training is increasingly offered as a method for improving training efficacy given its ability to provide a rich sensory experience during learning. This paper describes a study examining how training efficacy can be improved by improving learning diagnostics. We study how varying forms of knowledge assessment are related to different types of task knowledge and task performance in a VR flight simulator. The data suggest that participants who demonstrated higher training comprehension, measured via diagnostic test questions, on conceptual (and to a lesser effect) declarative knowledge, also demonstrated superior knowledge transfer in the VR flight simulator. Findings are discussed in the context of improving cognitively diagnostic assessments that are better able to predict task performance and inform individually tailored training remediation.

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Motor Indicators for the Assessment of Frozen Shoulder Rehabilitation via a Virtual Reality Training System

Electronics ◽

10.3390/electronics10060740 ◽

2021 ◽

Vol 10 (6) ◽

pp. 740

Author(s):

Si-Huei Lee ◽

Shih-Ching Yeh ◽

Jianjun Cui ◽

Chia-Ru Chung ◽

Chang-Hsin Yeh ◽

...

Keyword(s):

Virtual Reality ◽

Task Performance ◽

Clinical Assessment ◽

Frozen Shoulder ◽

Assessment Tools ◽

Microsoft Kinect ◽

Therapeutic Effects ◽

Trajectory Data ◽

And Task ◽

Assessment Results

Adhesive capsulitis (also known as frozen shoulder) is a common clinical shoulder disorder and can be effectively improved through physical rehabilitation. With advancements in technology, virtual reality (VR) has been increasingly employed in rehabilitation treatments. However, most relevant studies have merely employed traditional assessment tools to assess the therapeutic effects rather than the substantial amount of motor trajectory data or task performance collected by motor training systems. In this research, an innovative frozen shoulder rehabilitation system using a Microsoft Kinect sensor and VR was successfully developed and five task-oriented motor indices and task performance were proposed to assess motor performance. A clinical experiment involving twenty patients was conducted. Objective clinical assessment outcomes verified the effectiveness of the developed system for frozen shoulder rehabilitation. The improvements assessed according to motor indices and task performance were consistent with the objective clinical assessment results. Furthermore, correlation analysis showed that several items in the task performance and motor indices were significantly correlated to clinical assessment items. Moreover, numerous items in the task performance and motor indices capable of predicting the clinical assessment results were identified through stepwise regression analysis. The results of this research can facilitate the subsequent development of new assessment methods.

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Motor Ingredients Derived from a Wearable Sensor-Based Virtual Reality System for Frozen Shoulder Rehabilitation

BioMed Research International ◽

10.1155/2016/7075464 ◽

2016 ◽

Vol 2016 ◽

pp. 1-10 ◽

Cited By ~ 2

Author(s):

Si-Huei Lee ◽

Shih-Ching Yeh ◽

Rai-Chi Chan ◽

Shuya Chen ◽

Geng Yang ◽

...

Keyword(s):

Virtual Reality ◽

Task Performance ◽

Clinical Assessment ◽

Frozen Shoulder ◽

Sensor Data ◽

Wearable Sensor ◽

Clinical Assessments ◽

Interferential Therapy ◽

Hot Pack ◽

And Task

Objective. This study aims to extract motor ingredients through data mining from wearable sensors in a virtual reality goal-directed shoulder rehabilitation (GDSR) system and to examine their effects toward clinical assessment.Design. A single-group before/after comparison.Setting. Outpatient research hospital.Subjects. 16 patients with frozen shoulder.Interventions. The rehabilitation treatment involved GDSR exercises, hot pack, and interferential therapy. All patients first received hot pack and interferential therapy on the shoulder joints before engaging in the exercises. The GDSR exercise sessions were 40 minutes twice a week for 4 weeks.Main Measures. Clinical assessments included Constant and Murley score, range of motion of the shoulder, and muscle strength of upper arm as main measures. Motor indices from sensor data and task performance were measured as secondary measures.Results. The pre- and posttest results for task performance, motor indices, and the clinical assessments indicated significant improvement for the majority of the assessed items. Correlation analysis between the task performance and clinical assessments revealed significant correlations among a number of items. Stepwise regression analysis showed that task performance effectively predicted the results of several clinical assessment items.Conclusions. The motor ingredients derived from the wearable sensor and task performance are applicable and adequate to examine and predict clinical improvement after GDSR training.

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