MILeS Workshop 2023

MILeS 2023 – Multimodal Immersive Learning Systems – Deadline July 7th

Third International Workshop – Call for Participation


Advances in the related fields of wearable sensors, mixed reality, artificial intelligence, and machine learning make it possible to connect these technologies into integrated learning solutions. The intersection of these fields of emerging technologies has provided abundant revelations of the promised land and the holy grail for innovative learning systems. After covering many miles with the previous two editions of the workshop, namely MILeS21 and MILeS22, with the third edition of this workshop, we want to further contribute to the systematic organisation of the field and to the advancement of multimodal immersive learning solutions.

The MILeS 2023 workshop is organised in the context of the German BMBF-funded research project MILKI-PSY, which aims to develop AI-supported, data-intensive, multimodal, immersive learning environments for the independent learning of psychomotor skills. This leads to a cross-domain approach that makes it possible to record the activities of experts in a multimodal manner and to use these recordings as blueprints for learners. With the help of AI-based analysis, learning progress is to be supported by automated error detection and automatically generated, individual feedback. This creates holistic, innovative environments for cultivating psychomotor skills, in which personalised AI support enables individual learning processes based on complex data analysis.

With the interdisciplinary workshop, we aim to bring together experts and practitioners from technology-enhanced learning and educational application of technologies to collect ideas, requirements, best practices, and example cases in the intersection of Artificial Intelligence, Multimodal Systems, Immersive Systems and their application into actual education.


  • Technologies for multimodal immersive learning systems
    • Mobile, wearable, and pervasive technologies
    • Sensors, sensor networks, and Internet of Things
    • Augmented reality, virtual reality, and mixed reality
    • Artificial intelligence
  • User experience in multimodal immersive learning systems
    • Pedagogical concepts for multimodal immersive learning systems
    • User acceptance of multimodal immersive learning systems
  • Application fields for multimodal immersive learning systems
    • Psychomotor skill training
    • Human-robot interaction
    • Simulations and immersive learning games
  • Evaluation approaches for multimodal immersive learning systems

14:30 – 14:40Introductory session
14:40 – 14:55Pitch session 1

1. Real-time visual feedback on motor performance in a dance class: Presentation of a field study concept

2. Evaluating an immersive learning toolkit for training psychomotor skills in the fields of human-robot interaction and dance.

3. Real-Time Posture Correction in Gym Exercises: A Computer Vision-Based Approach for Performance Analysis, Error Classification and Feedback
14:55 – 15:20Discussion round 1
15:20 – 15:35Pitch session 2

4. Integrating Physiological Indicators with a Competency Model for Enhanced Collaborative Problem Solving in Small Groups

5. Zoom lens: An MMLA framework for evaluating collaborative learning at both individual and group levels

6. Making an Online Whiteboard Ready for Multimodal Interaction: Integrating Text- and Voice Chat into Hyperchalk
15:35 – 16:00Discussion round 2
16:00 – 16:10Pitch session 3

7. Implementing Cloud-Based Feedback to Facilitate Scalable Psychomotor Skills Acquisition

8. Leveraging Feedback Through Personalized Recommendations within Intelligent Tutoring Systems for Psychomotor Skill Development
16:10 – 16:35Discussion round 3
16:35 – 17:05Coffee break
17:05 – 17:15Pitch session 4

9. How Mental Factors Affect Psychomotor Skill Learning and Training and How to Measure Them: Running Case

10. Novices make more noise! But how can we listen to it?
17:15 – 17:40Discussion round 4
17:40 – 17:50Roger Bannister Award ceremony
17:50 -18:00Closing


    Programme Committee

    • Roland Klemke (TH Köln and Open University of the Netherlands)
    • Daniel Majonica (TH Köln)
    • Valerie Varney (TH Köln)
    • Tobias Keller (TH Köln)
    • Daniele Di Mitri (DIPF Frankfurt)
    • Fernando P. Cardenas-Hernandez (DIPF Frankfurt)
    • Gianluca Romano (DIPF Frankfurt)
    • Nghia Trung Duong (DFKI Berlin)
    • Michal Slupczynski (RWTH Aachen)
    • Stefanie Klatt (Deutsche Sporthochschule Köln)
    • Mai Geisen (Deutsche Sporthochschule Köln)
    • Nina Riedl (Deutsche Sporthochschule Köln)