MatAR: dynamic augmented reality platform for accessible molecular visualization

Khatereh Mohammadi, El Tayeb Bentria, Satayanaraya Bonakala, Johanne Medina, Lamis Ayeche, Joelle Fadlallah, Fedwa El Mellouhi*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

1 Citation (Scopus)

Abstract

Color blindness affects 5% of the world's population, and it can challenge the accessibility and inclusivity of science, technology, engineering and mathematics (STEM) education. Inspired by the fourth United Nations’ (UN) sustainable development goal of quality education, we aim to provide sustainable and accessible resources for lifelong learning for all. In this work, we present MatAR, an educational augmented reality (AR) mobile app that enables colorblind learners to visualize 3D molecular structures by color pallet optimization. Leveraging Vuforia's cloud database, MatAR offers a sustainable solution for storing and accessing target images. Accessibility to AR applications for physics, chemistry, and materials science learning is currently limited. We believe that MatAR provides immersive visualization solutions for education and academic/industry research and has the potential to enhance the accessibility of STEM education for learners with color vision deficiencies and promote inclusive and equitable quality education, aligning with the united nations sustainable development goals.

Original languageEnglish
Pages (from-to)29415-29423
Number of pages9
JournalPhysical Chemistry Chemical Physics
Volume25
Issue number43
DOIs
Publication statusPublished - 25 Oct 2023

Fingerprint

Dive into the research topics of 'MatAR: dynamic augmented reality platform for accessible molecular visualization'. Together they form a unique fingerprint.

Cite this