Research on the Usability of Hand Motor Function Training based on VR System

Gao, Yang; Zhai, Yingnan; Hao, Ming-Yang; Wang, Lizhen; Hao, Aimin

doi:10.1109/ismar-adjunct54149.2021.00080

Cited by 5 publications

(1 citation statement)

References 20 publications

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“…Despite the absence of a positive causal relationship between PEU and AT, we cannot rule out that some users’ adverse reactions to a variety of metaverse products or experience with VR glasses may affect their attitudes toward using metaverse technology in the future, which needs to be explored further in future studies ( Gao et al, 2021 ). This non-significant correlation was also confirmed in PT Tokopedia’s user’s study of purchase intention ( Gunawan et al, 2019 ).…”

Section: Discussionmentioning

confidence: 98%

A study of factors influencing Chinese college students’ intention of using metaverse technology for basketball learning: Extending the technology acceptance model

Ren

Yang

et al. 2022

Front. Psychol.

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IntroductionBased on the expansion of flow constructs based on the TAM model, this study assesses the impact of metaverse technology in college basketball courses.MethodsWe surveyed 849 effective samples using an online questionnaire survey, verified our analysis using structural equation modeling, and examined the moderating effect of gender on the path relationship.ResultsThe perceived ease of use, the flow experience, and the perceived usefulness of the product are important predictors of behavioral intention. According to the study, perceived usefulness, and flow experience influence attitudes significantly. A moderating effect of gender is observed on perceived ease of use on the path to behavioral intention, and the results extend the theoretical research on the use of metaverse technology for basketball instruction and TAM.DiscussionA metaverse-based learning experience can enhance the flow experience of basketball learning, thus increasing the willingness to use and the effectiveness of learning.

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Section: Discussionmentioning

confidence: 98%

A study of factors influencing Chinese college students’ intention of using metaverse technology for basketball learning: Extending the technology acceptance model

Ren

Yang

et al. 2022

Front. Psychol.

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Auditory feedback in tele-rehabilitation based on automated gait classification

Oliveira

Slijepčević

Dumphart

et al. 2023

Pers Ubiquit Comput

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In this paper, we describe a proof-of-concept for the implementation of a wearable auditory biofeedback system based on a sensor-instrumented insole. Such a system aims to assist everyday users with static and dynamic exercises for gait rehabilitation interventions by providing auditory feedback based on plantar pressure distribution and automated classification of functional gait disorders. As ground reaction force (GRF) data are frequently used in clinical practice to quantitatively describe human motion and have been successfully used for the classification of gait patterns into clinically relevant classes, a feed-forward neural network was implemented on the firmware of the insoles to estimate the GRFs using pressure and acceleration data. The estimated GRFs approximated well the GRF measurements obtained from force plates. To distinguish between physiological gait and gait disorders, we trained and evaluated a support vector machine with labeled data from a publicly accessible dataset. The automated gait classification was then sonified for auditory feedback. The potential of the implemented auditory feedback for preventive and supportive applications in physical therapy was finally assessed with both expert and non-expert participants. A focus group revealed experts’ expectations for the proposed system, while a usability study assessed the clarity of the auditory feedback to everyday users. The evaluation shows promising results regarding the usefulness of our system in this application area.

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