Research on the visual elements of augmented reality assembly processes

Li, Wang; Wang, Junfeng; Jiao, Sichen; Wang, Meng; Li, Shiqi

doi:10.1016/j.vrih.2019.09.006

Cited by 27 publications

(8 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to the feedback from the participants, the animations helped them to identify which part should be unfastened or removed, and the animations indicated the directions of part removal, which was helpful. Appropriately adding virtual elements, such as 3D arrows, can help the operators reduce cognitive confusion (W. Li et al, 2019). These features can help to reduce the attention load and perceptual requirement in performing the maintenance task, especially in high task complexity situation.…”

Section: Maintenance Instruction Methods Effectmentioning

confidence: 99%

Usability evaluation of augmented reality‐based maintenance instruction system

Wang

2021

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

This article presents an augmented reality-based instruction (ARBI) system for maintenance tasks. A traditional manual instruction method and a computer-assisted instruction method were compared. Three maintenance instruction methods, three task difficulty levels (low, medium, and high), and the user's gender (male and female) were specified as the independent variables in the experimental design. The dependent variables included task completion time and error rate as objective measures, and system usability scale (SUS) and NASA-task load index (NASA-TLX) scores as subjective measures. There were 30 participants (15 males and 15 females) in the experiment. The results indicated that the instruction method and task difficulty significantly affected the task completion time, error rate, SUS, and NASA-TLX.Among the instruction methods, the ARBI method exhibited the highest SUS score, lowest NASA-TLX score, shortest task completion time, and minimum error rate. In conclusion, the proposed ARBI method was beneficial for assisting iPhone maintenance tasks.

show abstract

Section: Maintenance Instruction Methods Effectmentioning

confidence: 99%

Usability evaluation of augmented reality‐based maintenance instruction system

Wang

2021

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

show abstract

“…Content design is the second dominant category in software design for AR solutions in manufacturing. In 2018-2020, AR content design especially focusing on visual elements and the conversion of manufacturing actions into standard symbols for AR content are key points [104,112,129,186].…”

Section: Software Designmentioning

confidence: 99%

Study of Augmented Reality Based Manufacturing for Further Integration of Quality Control 4.0: A Systematic Literature Review

Albajez

Santolaria

et al. 2022

Applied Sciences

View full text Add to dashboard Cite

Augmented Reality (AR) has gradually become a mainstream technology enabling Industry 4.0 and its maturity has also grown over time. AR has been applied to support different processes on the shop-floor level, such as assembly, maintenance, etc. As various processes in manufacturing require high quality and near-zero error rates to ensure the demands and safety of end-users, AR can also equip operators with immersive interfaces to enhance productivity, accuracy and autonomy in the quality sector. However, there is currently no systematic review paper about AR technology enhancing the quality sector. The purpose of this paper is to conduct a systematic literature review (SLR) to conclude about the emerging interest in using AR as an assisting technology for the quality sector in an industry 4.0 context. Five research questions (RQs), with a set of selection criteria, are predefined to support the objectives of this SLR. In addition, different research databases are used for the paper identification phase following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) methodology to find the answers for the predefined RQs. It is found that, in spite of staying behind the assembly and maintenance sector in terms of AR-based solutions, there is a tendency towards interest in developing and implementing AR-assisted quality applications. There are three main categories of current AR-based solutions for quality sector, which are AR-based apps as a virtual Lean tool, AR-assisted metrology and AR-based solutions for in-line quality control. In this SLR, an AR architecture layer framework has been improved to classify articles into different layers which are finally integrated into a systematic design and development methodology for the development of long-term AR-based solutions for the quality sector in the future.

show abstract

“…The second most important aspect is represented by the way the assembly information is conveyed via AR. Literature shows that digital assets used to convey information in AR include text, audio, static 2D/3D and dynamic 2D/3D [20]. The visual ones are classified as text, sign/symbol, image/picture, video, drawing, 3D model and animations [9] [20].…”

Section: Ar Device Visual Assets and Spatial Registrationmentioning

confidence: 99%

A low-cost AR training system for manual assembly operations

Lavric

Bricard

Preda³

et al. 2022

COMSIS J

View full text Add to dashboard Cite

This research work aims to provide an AR training system adapted to industry, by addressing key challenges identified during a long-term case study conducted in a boiler-manufacturing factory. The proposed system relies on low-cost visual assets (i.e. text, image, video and predefined auxiliary content) and requires solely a head-mounted display (HMD) device (i.e. Hololens 2) for both authoring and training. We evaluate our proposal in a real-world use case by conducting a field study and two field experiments, involving 5 assembly workstations and 30 participants divided into 2 groups: (i) low-cost group (G-LA) and (ii) computer-aided design (CAD)-based group (G-CAD). The most significant findings are as follows. The error rate of 2.2% reported by G-LA during the first assembly cycle (WEC) suggests that low-cost visual assets are sufficient for effectively delivering manual assembly expertise via AR to novice workers. Our comparative evaluation shows that CAD-based AR instructions lead to faster assembly (-7%, -18% and -24% over 3 assembly cycles) but persuade lower user attentiveness, eventually leading to higher error rates (+38% during the WEC). The overall decrease of the instructions reading time by 47% and by 35% in the 2nd and 3rd assembly cycles, respectively, suggest that participants become less dependent on the AR instructions rapidly. By considering these findings, we question the worthiness of authoring CAD-based AR instructions in similar industrial use cases.

show abstract

Research on the visual elements of augmented reality assembly processes

Cited by 27 publications

References 15 publications

Usability evaluation of augmented reality‐based maintenance instruction system

Usability evaluation of augmented reality‐based maintenance instruction system

Study of Augmented Reality Based Manufacturing for Further Integration of Quality Control 4.0: A Systematic Literature Review

A low-cost AR training system for manual assembly operations

Contact Info

Product

Resources

About