AR Training for Automotive Repair Paint Inspection: Development and Evaluation

This study presents the development and evaluation of an augmented reality (AR) training application (app) aimed at improving skills in automotive paint inspection. Although the accurate assessment of paint finish quality is essential in automotive repair, opportunities for conventional training are often limited. To address this gap, we developed a prototype AR app that simulates visual inspection tasks. The prototype AR app was subsequently evaluated by two experts and one novice, with a focus on usability and perceived effectiveness. Although participants experienced minor difficulties with camera handling, they recognized the potential of the app to support skill development. Experts’ feedback emphasized the need for enhanced realism in the representation of paint textures. Overall, preliminary findings indicate that the AR app is a promising supplementary tool that can be used in conventional training methods during automotive-repair paint inspection.

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Publication Details

Journal
IIAI Letters on Informatics and Interdisciplinary Research
Published
2025-01-01
DOI
https://doi.org/10.52731/liir.v006.462
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

AR Training for Automotive Repair Paint Inspection: Development and Evaluation

Shigeru IKEMOTO, Yuka TAKAI
IIAI Letters on Informatics and Interdisciplinary Research
Manufacturing Process and Optimization
article

AR Training for Automotive Repair Paint Inspection: Development and Evaluation

Shigeru IKEMOTO, Yuka TAKAI
article en

Abstract

This study presents the development and evaluation of an augmented reality (AR) training application (app) aimed at improving skills in automotive paint inspection. Although the accurate assessment of paint finish quality is essential in automotive repair, opportunities for conventional training are often limited. To address this gap, we developed a prototype AR app that simulates visual inspection tasks. The prototype AR app was subsequently evaluated by two experts and one novice, with a focus on usability and perceived effectiveness. Although participants experienced minor difficulties with camera handling, they recognized the potential of the app to support skill development. Experts’ feedback emphasized the need for enhanced realism in the representation of paint textures. Overall, preliminary findings indicate that the AR app is a promising supplementary tool that can be used in conventional training methods during automotive-repair paint inspection.

IIAI Letters on Informatics and Interdisciplinary ResearchVol. 6
Osaka Sangyo University (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 61%
Manufacturing Process and Optimization
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AR Training for Automotive Repair Paint Inspection: Development and Evaluation — Shigeru IKEMOTO, Yuka TAKAI · IIAI Letters on Informatics and Interdisciplinary Research (2025) | TGRS Research Map | TGRS