An experimental study on augmented reality assisted manual assembly with occluded components

This study analyzed the development of phonological, semantic, and syntactic aspects by using augmented reality and interactive whiteboard with boys and girls in the kindergarten of Liceo San Felipe, San Felipe, Chili. With the implementation of these tools, learning experiences were carried out, enhancing the understanding of sentences and words in their successive components: linguistic segmentation, phonological awareness, and reflection on the meaning of words and sentences. The experiments were carried out in a didactic classroom of the course of Educacion Parvularia (Pre-School Education) at the University of Playa Ancha, San Felipe Campus, for 60 minutes, once a week for four months. It was a quasi-experimental study, and through pre- and post-tests, it was possible to verify the development of 18 children of a municipal school in San Felipe. The instruments used were the Linguistic Segmentation Test, Comprehensive and Expressive Language Examination Test (ELCE); Subtest semantic aspect, Test Evaluation O; Subtest words and phrases. The results, based on the comparison of pre- and post-test, showed changes in the management of the semantic, syntactic, and phonological aspects achieved by the children with this methodology. However, more research is needed to validate this proposal in teaching metalinguistic.

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An experimental study on the role of 3D sound in augmented reality environment

Interacting with Computers ◽

10.1016/j.intcom.2004.06.016 ◽

2004 ◽

Vol 16 (6) ◽

pp. 1043-1068 ◽

Cited By ~ 14

Author(s):

Zhiying Zhou ◽

Adrian David Cheok ◽

Xubo Yang ◽

Yan Qiu

Keyword(s):

Experimental Study ◽

Augmented Reality ◽

3D Sound

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Evaluating the effectiveness of augmented reality displays for a manual assembly task

Virtual Reality ◽

10.1007/bf01421808 ◽

1999 ◽

Vol 4 (4) ◽

pp. 250-259 ◽

Cited By ~ 70

Author(s):

K. M. Baird ◽

W. Barfield

Keyword(s):

Augmented Reality ◽

Manual Assembly ◽

Assembly Task

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BricksAR: exploring the potential of augmented reality to inform assembly processes in construction

10.5753/svr_estendido.2020.12953 ◽

2020 ◽

Author(s):

João Pedro Andrade Caixeta ◽

André Luís De Araújo

Keyword(s):

Augmented Reality ◽

Real World ◽

Low Cost ◽

Manual Assembly ◽

Ongoing Research ◽

The Real ◽

Modeling Simulation ◽

Design Production ◽

Manufacturing Methods ◽

Assembly Operations

The use of Augmented Reality (AR) systems in construction processes can represent an essential transformation in the communication between design and production. However, supposing that design-production translations can be obtained from several manufacturing methods (such as robotic, manual, modular, non-modular, and others), there are not enough studies that explored the potential uses of AR as an assistant for assembly operations. To tackle this problem, this ongoing research proposes to investigate the potentials of a low-cost and marker-based AR system to conduct different manual assembly processes. With the observational focus on aspects of precision and feasibility, we used scientific reductions based on modeling, simulation, and prototyping to provide inferences about the proposed tool's behavior in the real world.

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Edge Computing Driven Scene-aware Intelligent Augmented Reality for Manual Assembly

10.21203/rs.3.rs-736006/v1 ◽

2021 ◽

Author(s):

Mingyu Fu ◽

Wei Fang ◽

Shan Gao ◽

Jianhao Hong ◽

Yizhou Chen

Keyword(s):

Augmented Reality ◽

Cognitive Load ◽

High Efficiency ◽

Computing System ◽

Edge Computing ◽

Assembly Process ◽

Manual Assembly ◽

Worker Center ◽

Assembly Operations ◽

Assembly Tasks

Abstract Wearable augmented reality (AR) can superimpose virtual models or annotation on real scenes, and which can be utilized in assembly tasks and resulted in high-efficiency and error-avoided manual operations. Nevertheless, most of existing AR-aided assembly operations are based on the predefined visual instruction step-by-step, lacking scene-aware generation for the assembly assistance. To facilitate a friendly AR-aided assembly process, this paper proposed an Edge Computing driven Scene-aware Intelligent AR Assembly (EC-SIARA) system, and smart and worker-centered assistance is available to provide intuitive visual guidance with less cognitive load. In beginning, the connection between the wearable AR glasses and edge computing system is established, which can alleviate the computation burden for the resource-constraint wearable AR glasses, resulting in a high-efficiency deep learning module for scene awareness during the manual assembly process. And then, based on context understanding of the current assembly status, the corresponding augmented instructions can be triggered accordingly, avoiding the operator’s cognitive load to strictly follow the predefined procedure. Finally, quantitative and qualitative experiments are carried out to evaluate the EC-SIARA system, and experimental results show that the proposed method can realize a worker-center AR assembly process, which can improve the assembly efficiency and reduce the occurrence of assembly errors effectively.

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