Posts tagged: Training

Our OpenAtelier AI tool for learning Dutch on the work floor in the news

, by , Press coverage press, Open Atelier, language learning, work instructions, AI, FAIR, Flanders Make, EISEAIT

An AI tool that helps non-native speakers learn Dutch on the work floor

We held a press event at the Noord-Limburgs Open Atelier where we showed our AI-supported tablet tool to the press. We built a tool for Open Atelier that helps non-native Dutch speakers learn the language while they work, and it was picked up by several regional and national outlets.

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Words at work: In-context Dutch learning through low-interruption AI integration in digital work instructions

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Digital work instructions are widely used on production floors, yet often assume native-language proficiency and reading fluency that do not align with training-oriented industrial workplaces. This creates barriers for workers who are simultaneously developing professional and language skills. We present a solution that augments existing digital work instructions with an AI-driven support layer for in-situ learning and personalization while minimizing disruption to production workflows. The approach preserves original documents and overlays optional assistance, including simplified text, contextual vocabulary, and automatically generated quizzes. Content is pre-processed through OCR, language-model-based cleanup, and task-specific enrichment, enabling lightweight run-time interaction within the original instruction interface. Developed in close collaboration with a manufacturing company, the system is presented as an engineering case study of AI-supported augmentation in real-world industrial contexts. We contribute (1) an integration pattern for embedding AI-supported learning into existing industrial documentation, and (2) insights into balancing assistance with workflow continuity.

Master thesis Maties Claesen nominated for the EOS thesis award!

, by , Master thesis Maties Claesen nominated for the EOS thesis award virtual reality, robotics, zero-gravity, master, thesis, space exploration, training, Flanders Make

Very proud of my thesis student Maties Claesen, who has been nominated for the EOS thesis award! His work, “ZeroTraining: Extending Zero-Gravity Objects Simulation in Virtual Reality Using Robotics,” combines virtual reality and robotics to simulate weightless objects more realistically – crucial for astronaut training and space exploration. Maties demonstrated some impressive creative problem-solving skills, especially in combining diverse fields to tackle complex challenges with limited hardware resources.

Special thanks to Andreas Treuer, Martial Costantini, and Lionel Ferra at ESA for their support, valuable insights and feedback on this work. Andreas was particularly instrumental for this work by sharing his experiences and providing feedback throughout the project which was crucial in refining both the scope as well as the implementation of this work.

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Paper accepted for ISMAR 2024 - The Art of Timing in AR Guidance

, by , ISMAR 2024 paper, ISMAR, training, welding, MAXVR, Flanders Make

Paper accepted for ISMAR 2024: The Art of Timing in AR Guidance

We are excited to announce that our paper titled “The Art of Timing: Effects of AR Guidance Timing on Speed Control” (with Jeroen Ceyssens, Bram van Deurzen, Gustavo Rovelo Ruiz and Fabian Di Fiore) has been accepted for presentation at the 2024 IEEE International Symposium on Mixed and Augmented Reality (ISMAR).

graphical abstract

Abstract

Augmented Reality (AR) holds significant potential to facilitate users in executing manual tasks. For effective support, however, we need to understand how showing movement instructions in AR affects how well people can follow those movements in real life. In this paper, we examine the degree to which users can synchronize the speed of their movements with speed cues presented through an AR environment. Specifically, we investigate the effects of timing in AR visual guidance. We assess performance using a highly realistic Mixed Reality (MR) welding simulation. Welding is a task that requires very precise timing and control over hand and arm motion. Our results show that upfront visual guidance (before manual task execution) alone often fails to transfer the knowledge of intended speeds, especially at higher target speeds. Live guidance during manual task execution provides more accurate speed results but typically requires a higher overshoot at the start. Optimal outcomes occur when visual guidance appears upfront and continues during the activity for users to follow through.

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