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A taxonomic overview and pilot study for evaluation of Augmented Reality based posture matching technique using Technology Acceptance Model

机译：基于技术验收模型的增强现实匹配技术评估的分类学概述和试验研究

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摘要

Motor skill training, posture matching and Augmented Reality (AR) based learning technology are considered to be the cornerstones of dance learning paradigm. In this paper, an AR based posture matching technique is presented based upon skeletal mapping and movement matching where each posture is modelled by a sequence of pivotal movements and continuous data frames. An extension of the previously published work by the authors, this paper aims to provide a taxonomic overview of dance learning/ training technologies with respect to existing learning theories. Furthermore, the proposed system is evaluated using the Technology Acceptance Model (TAM) and a pilot study is carried out to assess the acceptability of the system. The results of the pilot study are also utilized for identifying flaws and to calculate the sample size for further evaluation using a larger group of subjects. This research also aims at providing a taxonomical knowledge and categorization of the proposed Augmented Reality Dance Training System (ARDTS) in the state-of-art hierarchical structure of learning theories.
机译：电机技能培训，姿势匹配和增强现实（AR）的学习技术被认为是舞蹈学习范式的基石。本文基于骨架映射和运动匹配来呈现基于AR基的姿势匹配技术，其中每个姿势由一系列枢转运动和连续数据帧建模。本文延伸了先前发布的工作，本文旨在为现有的学习理论提供舞蹈学习/培训技术的分类概述。此外，使用技术验收模型（TAM）评估所提出的系统，并进行试验研究以评估系统的可接受性。试验研究的结果也用于鉴定缺陷并计算使用较大的受试者进行进一步评估的样本量。该研究还旨在提供在学习理论的最先进的分层结构中提出的分类学知识和分类的增强现实舞蹈培训系统（ATDTS）。

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