Bihari, Bence and Nagy, Bálint György and Dóka, János and Sonkoly, Balázs (2024) AI-Powered Mixed Reality: Revolutionizing Training Methodologies. Shigeki Ozawa. 2024 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct): Towards Evaluating Pharmaceutical Delivery Assistance Systems from Sales Offices to Client Facilities in VR Simulation. (2024) ISBN:9798331506919. (In Press)
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Abstract
Training is a costly and time-consuming task, especially in industrial environments. Self-learning methods, customized curriculum, mixed reality (MR), and automation in the training process can have great societal impact. However, the preparation of new educational materials will pose additional challenges which could hinder the technology adaptation. In this demo, we propose a novel platform exploiting various AI technologies to facilitate and accelerate the creation of training applications, especially in MR environments. An expert needs to perform and explain a complex process only once and our system automatically generates a step-by-step tutorial including video snippets and textual descriptions.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Human-centered computing, Human computer interaction (HCI), Interaction paradigms, Mixed / augmented reality |
| Subjects: | T Technology / alkalmazott, műszaki tudományok > T2 Technology (General) / műszaki tudományok általában |
| Depositing User: | Dr. Balázs Sonkoly |
| Date Deposited: | 26 Sep 2025 09:34 |
| Last Modified: | 26 Sep 2025 09:34 |
| URI: | https://real.mtak.hu/id/eprint/225524 |
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