@inproceedings{0cd5816aa9754cd7848a0624eab04960,
title = "Development of a Decision Support Tool for Projector-Based Augmented Reality Component Selection Through Design for Mass Personalization Methodology",
abstract = "This paper presents an innovative approach designed to simplify the decision-making process in the installation of Projector-based Spatial Augmented Reality (SAR) systems through the utilization of the Design for Mass Personalization methodology. The developed solution addresses the inherent complexities of defining platform hardware components, streamlining setup procedures, and minimizing the necessity for extensive technical expertise and time investment. Implemented as a Blender add-on, this solution provides users with a 3D model of the platform setup alongside a comprehensive list of components accompanied by technical specifications. Validation results demonstrate the configurator's capability to generate valid configurations when compared to existing setups. Additionally, studies involving experts in AR/VR technologies confirm its satisfactory usability. These promising findings suggest the potential for significant advancements in AR system configuration through this approach.",
author = "Eduardo Pi{\~n}ones and Federico Morosi and Valentina Apablaza and Mehmet Ozdemir",
year = "2025",
doi = "10.1007/978-3-031-76594-0_45",
language = "English",
isbn = "978-3-031-76593-3",
series = "Lecture Notes in Mechanical Engineering",
publisher = "Springer",
pages = "393--400",
editor = "{Di Stefano}, Paolo and Francesco Gherardini and Vincenzo Nigrelli and Caterina Rizzi and Gaetano Sequenzia and Davide Tumino",
booktitle = "Design Tools and Methods in Industrial Engineering IV",
note = "4th International Conference on Design Tools and Methods in Industrial Engineering, ADM 2024 ; Conference date: 11-09-2024 Through 13-09-2024",
}