Abstract is missing.
- Real-time visual feedback on motor performance in a dance class: Presentation of a field study conceptMai Geisen, Nina Riedl, Stefanie Klatt. 5-9 [doi]
- How Mental Factors Affect Psychomotor Skill Learning and Training and How to Measure Them: Running CaseFernando Pedro Cardenas Hernandez, Jan Schneider 0001. 10-18 [doi]
- Leveraging Feedback Through Personalized Recommendations within Intelligent Tutoring Systems for Psychomotor Skill DevelopmentGianluca Romano, Jan Schneider 0001. 19-27 [doi]
- Zoom lens: An MMLA framework for evaluating collaborative learning at both individual and group levelsQi Zhou, Mutlu Cukurova. 28-35 [doi]
- Implementing Cloud-Based Feedback to Facilitate Scalable Psychomotor Skills AcquisitionMichal Slupczynski, Khaleel Asyraaf Mat Sanusi, Daniel Majonica, Roland Klemke, Stefan Decker. 36-43 [doi]
- Making an Online Whiteboard Ready for Multimodal Interaction: Integrating Text- and Voice Chat into HyperchalkSebastian Gombert, Lukas Menzel, Onur Karademir, Daniele Di Mitri, Hendrik Drachsler. 44-48 [doi]
- Integrating Physiological Indicators with a Competency Model for Enhanced Collaborative Problem Solving in Small GroupsWicaksono Febriantoro, Mutlu Cukurova. 49-55 [doi]
- Novices make more noise! But how can we listen to it?Jan Schneider 0001, Khaleel Asyraaf Mat Sanusi, Bibeg Limbu, Nghia Duong-Trung. 56-63 [doi]
- Real-Time Posture Correction in Gym Exercises: A Computer Vision-Based Approach for Performance Analysis, Error Classification and FeedbackHitesh Kotte, Milos Kravcík, Nghia Duong-Trung. 64-70 [doi]
- Evaluating an immersive learning toolkit for training psychomotor skills in the fields of human-robot interaction and danceKhaleel Asyraaf Mat Sanusi, Daniel Majonica, Patrick Handwerk, Suhana Biswas, Roland Klemke. 70-78 [doi]