Effect of Augmented Reality Support on Quality Inspection of Welded Structures

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23210%2F23%3A43970347" target="_blank" >RIV/49777513:23210/23:43970347 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.mdpi.com/2076-3417/13/21/11655" target="_blank" >https://www.mdpi.com/2076-3417/13/21/11655</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/app132111655" target="_blank" >10.3390/app132111655</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Effect of Augmented Reality Support on Quality Inspection of Welded Structures

Popis výsledku v původním jazyce

With the increasing complexity of production systems and manufactured products, operators face high demands for professional expertise and long-term concentration. Augmented reality (AR) can support users in their work by displaying relevant virtual data in their field of view. In contrast to the extensive research on AR assistance in assembly, maintenance, and training, AR support in quality inspection has received less attention in the industrial context. Quality inspection is an essential part of industrial processes; thus, it is important to verify whether AR assistance can support users in these tasks. This work proposes an AR-based approach for quality inspection. For this, pilot AR software was designed and developed. The proposed AR approach was tested with end users. The task efficiency, the error rate, the perceived mental workload, and the usability of the AR approach were analysed and compared to the conventional paper-based support. The field research confirmed the positive effect on user efficiency during quality inspection while decreasing the perceived mental workload. This work extends the research on the potential of AR assistance in industrial applications and provides experimental validation to confirm the benefits of AR support on user performance during quality inspection tasks.

Název v anglickém jazyce

Effect of Augmented Reality Support on Quality Inspection of Welded Structures

Popis výsledku anglicky

With the increasing complexity of production systems and manufactured products, operators face high demands for professional expertise and long-term concentration. Augmented reality (AR) can support users in their work by displaying relevant virtual data in their field of view. In contrast to the extensive research on AR assistance in assembly, maintenance, and training, AR support in quality inspection has received less attention in the industrial context. Quality inspection is an essential part of industrial processes; thus, it is important to verify whether AR assistance can support users in these tasks. This work proposes an AR-based approach for quality inspection. For this, pilot AR software was designed and developed. The proposed AR approach was tested with end users. The task efficiency, the error rate, the perceived mental workload, and the usability of the AR approach were analysed and compared to the conventional paper-based support. The field research confirmed the positive effect on user efficiency during quality inspection while decreasing the perceived mental workload. This work extends the research on the potential of AR assistance in industrial applications and provides experimental validation to confirm the benefits of AR support on user performance during quality inspection tasks.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

21100 - Other engineering and technologies

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Applied Sciences

ISSN

2076-3417

e-ISSN

2076-3417

Svazek periodika

13

Číslo periodika v rámci svazku

21

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

25

Strana od-do

—

Kód UT WoS článku

001100377300001

EID výsledku v databázi Scopus

2-s2.0-85181687661