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Luma AI vs. LiDAR: GEA Study Assesses Accessibility in Virtual Environment Creation

22/04/2026

Last Friday, April 17th, Rocío del Pilar Sosa Fernández, a member of GEA, presented the paper Accessibility and Efficiency in Virtual Production: A TAM-Based Comparison of Luma AI (NeRFs) and Smartphone LiDAR at the 2026 SJTU-IAMCR Emerging Media Conference: Creative Communication and Empowerment. The event was organised by the International Association for Media and Communication Research (IAMCR) and the School of Media and Communication at Shanghai Jiao Tong University (SJTU) in Shanghai.

The research stems from the current need to understand how artificial intelligence is accelerating content creation and transforming the production landscape. Although AI tools can democratise creation by reducing the cost of producing virtual environments, they may also unintentionally generate new barriers and limitations. This study analyses the user interface and workflow of Luma AI, a platform that uses artificial intelligence and neural radiance fields (NeRFs) to create photorealistic 3D environments. This analysis is contrasted with a similar content creation process using the LiDAR scanner built into an iPhone. To evaluate the perceived usefulness and ease of use of each technology, the research applies the Technology Acceptance Model (TAM). The main objective is to compare the outcomes and workflows in order to determine which technology offers greater accessibility and efficiency in the creation of virtual environments.

Rocío del Pilar Sosa Fernández’s contribution took place within Panel E4, Human Responses to AI Images, moderated by Yuehua Wu (Shanghai Jiao Tong University) and with Nico Carpentier (Charles University, Czech Republic) serving as discussant.

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