MILeS 2023
Multimodal Immersive Learning Systems 2023

Table of Contents

• Preface
  Summary: There were 10 papers submitted for peer-review to this workshop. All 10 papers were accepted as short papers for this volume.

Short Papers

• Real-time visual feedback on motor performance in a dance class: Presentation of a field study concept. 5-9
  Mai Geisen , Nina Riedl , Stefanie Klatt
• How Mental Factors Affect Psychomotor Skill Learning and Training and How to Measure Them: Running Case. 10-18
  Fernando Pedro Cardenas-Hernandez , Jan Schneider
• Leveraging Feedback Through Personalized Recommendations within Intelligent Tutoring Systems for Psychomotor Skill Development. 19-27
  Gianluca Romano , Jan Schneider
• Zoom lens: An MMLA framework for evaluating collaborative learning at both individual and group levels. 28-35
  Qi Zhou , Mutlu Cukurova
• Implementing Cloud-Based Feedback to Facilitate Scalable Psychomotor Skills Acquisition. 36-43
  Michal Slupczynski , Khaleel Asyraaf Mat Sanusi , Daniel Majonica , Roland Klemke , Stefan Decker
• Making an Online Whiteboard Ready for Multimodal Interaction: Integrating Text- and Voice Chat into Hyperchalk. 44-48
  Sebastian Gombert , Lukas Menzel , Onur Karademir , Daniele Di Mitri , Hendrik Drachsler
• Integrating Physiological Indicators with a Competency Model for Enhanced Collaborative Problem Solving in Small Groups. 49-55
  Wicaksono Febriantoro , Mutlu Cukurova
• Novices make more noise! But how can we listen to it?. 56-63
  Jan Schneider , Khaleel Asyraaf Mat Sanusi , Bibeg Limbu , Nghia Duong-Trung
• Real-Time Posture Correction in Gym Exercises: A Computer Vision-Based Approach for Performance Analysis, Error Classification and Feedback. 64-70
  Hitesh Kotte , Miloš Kravčík , Nghia Duong-Trung
• Evaluating an immersive learning toolkit for training psychomotor skills in the fields of human-robot interaction and dance. 70-78
  Khaleel Asyraaf Mat Sanusi , Daniel Majonica , Patrick Handwerk , Suhana Biswas , Roland Klemke