https://hytea.de/

HyTea ~ Presentable

Model for Hybrid Teaching (HyTea) (2022 - 2025)

HyTea (www.hytea.de) is my first project as a PI. HyTea is a collaborative project funded by the German Ministry of Education (BMBF) between DIPF and Cologne Game Lab that aims to design a multimodal tutor for training presentation skills using artificial intelligence (AI) and immersive technologies. The project also addresses the alignment problem of AI systems, which refers to the importance of designing AI systems that align with human values. The project started in September 2022 and will run until the end of 2025.

In the HyTea project, we created Presentable, an advanced research software designed to enhance users’ presentation skills through AI-driven feedback and guidance. It offers personalised feedback on voice and body language, guidance on message composition, and rehearsal tools with self-reflection prompts. Presentable provides educators with tools to monitor and support student progress, making it essential for improving presentation skills.

 

 

Published by Daniele Di Mitri

Daniele Di Mitri is a research group leader at the DIPF - Leibniz Institute for Research and Information in Education and a lecturer at the Goethe University of Frankfurt, Germany. Daniele received his PhD entitled "The Multimodal Tutor" at the Open University of The Netherlands (2020) in Learning Analytics and wearable sensor support. His research focuses on collecting and analysing multimodal data during physical interactions for automatic feedback and human behaviour analysis. Daniele's current research focuses on designing responsible Artificial Intelligence applications for education and human support. He is a "Johanna Quandt Young Academy" fellow and was elected "AI Newcomer 2021" at the KI Camp by the German Informatics Society. He is a member of the editorial board of Frontiers in Artificial Intelligence journal, a member of the CrossMMLA, a special interest group of the Society of Learning Analytics Research, and chair of the Learning Analytics Hackathon (LAKathon) series.