Updated the readme

README.md

@@ -2,7 +2,7 @@
 
 [![GitHub license](https://img.shields.io/badge/License-MIT-yellow.svg)](https://github.com/jblattgerste/TrainAR/blob/master/LICENSE) [![Maintenance](https://img.shields.io/badge/Maintained%3F-yes-green.svg)](https://github.com/jblattgerste/TrainAR/graphs/commit-activity) [![Made with Unity](https://img.shields.io/badge/Made%20with-Unity-57b9d3.svg?style=flat&logo=unity)](https://unity3d.com) [![Documentation](https://github.com/jblattgerste/TrainAR/actions/workflows/documentation.yml/badge.svg)](https://jblattgerste.github.io/TrainAR/)
 
-TrainAR is a holistic threefold combination of an interaction concept, didactic framework and authoring tool for Augmented Reality (AR) trainings on handheld Android and iOS devices ([Blattgerste et al. 2021](https://scholar.google.de/citations?view_op=view_citation&hl=en&user=k2xymcIAAAAJ&citation_for_view=k2xymcIAAAAJ:Y0pCki6q_DkC)). It is completely open source, free and offers non-programmers and programmers without AR-specific expertise aiding in the creation of interactive, engaging, procedural Augmented Reality trainings. This repository contains the technical components of the interaction concept and authoring tool of TrainAR in form of a custom Unity 2022.3 (LTS) Editor Extension. It can be used with the Unity Windows, macOS (Silicon), macOS (Intel), or Linux Editor and deploy to Android and iOS devices. The authoring tool already offers features like the onboarding animations, tracking solutions, assembly placements, evaluated interaction concepts, layered feedback modalities and training assessments of TrainAR out of the box. This allows authors of AR trainings to focus on the content of the training instead of technical challenges. Authors can simply import 3D models into the tool, convert them to TrainAR objects and reference them in a visual-scripting stateflow (that is inspired by work-process-analyses) to create a procedural flow of instructions, user actions and feedback.
+TrainAR is a holistic threefold combination of an interaction concept, didactic framework and authoring tool for Augmented Reality (AR) trainings on handheld Android and iOS devices ([Blattgerste et al. 2021](https://scholar.google.de/citations?view_op=view_citation&hl=en&user=k2xymcIAAAAJ&citation_for_view=k2xymcIAAAAJ:Y0pCki6q_DkC)). It is completely open source, free and offers non-programmers and programmers without AR-specific expertise aiding in the creation of interactive, engaging, procedural Augmented Reality trainings. This repository contains the technical components of the interaction concept and authoring tool of TrainAR in form of a custom Unity 2022.3.49f1 (LTS) Editor Extension. It can be used with the Unity Windows, macOS (Silicon), macOS (Intel), or Linux Editor and deploy to Android and iOS devices. The authoring tool already offers features like the onboarding animations, tracking solutions, assembly placements, evaluated interaction concepts, layered feedback modalities and training assessments of TrainAR out of the box. This allows authors of AR trainings to focus on the content of the training instead of technical challenges. Authors can simply import 3D models into the tool, convert them to TrainAR objects and reference them in a visual-scripting stateflow (that is inspired by work-process-analyses) to create a procedural flow of instructions, user actions and feedback.
 
 ![Example TrainAR Authoring on a laptop with deployment to an android phone](https://raw.githubusercontent.com/jblattgerste/TrainAR/64a9372b05bf0e3656f8e2d8365d9b566a2de37d/Documentation/resources/ExampleAuthoring.png)