Work

Investigating the impact of augmented reality in machine operation training: A case study on laser-cutting machines

Year: 2025

Type: article

Abstract: Although augmented reality (AR) has shown promising effects in education, its application in manufacturing training remains underexplored, particularly beyond assembly and maintenance tasks. This study examines the impact of AR on learning machine operation using a laser-cutting machine as a case study. The initial hypothesis that AR enhances performance and the learning experience was not fully supported by this experiment. The inexperienced learners who used AR produced fewer errors than instructor-led learners when reproducing the cutting task, but the control group performed faster than the AR group. The experiment also revealed a significant difference in the amount of additional information needed by both groups. These findings highlight the importance of design and challenge the notion that AR consistently enhances learning. However, these results offer valuable insights for future AR-based training system designs, emphasising the need for more nuanced approaches to optimise AR's educational efficacy.

Source: European Journal of Engineering Education

DOI: 10.1080/03043797.2025.2585117

Authors: Meysam Imanipour, Alex Gabriel, Alaa Hassan, Aylen Ricca

Institutions: Équipe de Recherche sur les Processus Innovatifs, Université de Lorraine, Université Paris-Saclay, Université d'Évry Val-d'Essonne

Language: English

Topic: Augmented Reality Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

Funder: Conseil régional du Grand Est