SUS.tools
The SUS Analysis Toolkit is an open-source, web-based application designed to streamline the evaluation and visualization of System Usability Scale (SUS) data. It enables researchers to calculate scores, analyze comparative datasets, and contextualize results against established benchmarks without manual effort. Additionally, the toolkit focuses on generating camera-ready figures suitable for direct inclusion in scientific publications and presentations.
TrainAR
TrainAR is an open-source, visual scripting-based authoring tool designed to create procedural Augmented Reality trainings for handheld devices. It empowers users without programming expertise to build interactive, didactically structured learning scenarios directly within the Unity Editor. The framework provides a holistic solution with built-in interaction concepts, feedback modalities, and assessment tools, allowing authors to focus entirely on training content.
DIVIFAG VR
The DiViFaG VR suite offers a collection of immersive training scenarios for healthcare education, covering tasks such as infusion preparation, wound treatment, and interdisciplinary reanimation. Designed for both autonomous and collaborative practice, these applications allow students to train critical practical and communicative skills in a safe virtual environment. The software integrates seamlessly with Learning Management Systems to facilitate educator oversight and performance assessment.
Heb@AR App
The Heb@AR App is an award-winning Augmented Reality training application designed to supplement practical midwifery education with five specific scenarios, such as newborn resuscitation and emergency tocolysis. Available as an Open Educational Resource for Android and iOS, it enables self-directed learning of complex medical procedures using standard handheld devices. The complete source code and supplementary materials are publicly available to support widespread adoption and further development.
PaneoVR
The Heb@AR App is an award-winning Augmented Reality training application designed to supplement practical midwifery education with five specific scenarios, such as newborn resuscitation and emergency tocolysis. Available as an Open Educational Resource for Android and iOS, it enables self-directed learning of complex medical procedures using standard handheld devices. The complete source code and supplementary materials are publicly available to support widespread adoption and further development.