https://motion-lab-he-arc.github.io/tags/publication/Recent content in Publication on Motion-Lab @ HE-ArcHugo -- gohugo.iofr© 2026 Haute École Arc Ingénierie - Tous droits réservésMon, 05 May 2025 00:00:00 +0000https://motion-lab-he-arc.github.io/pages/2025_gim3d_paper/Mon, 05 May 2025 00:00:00 +0000https://motion-lab-he-arc.github.io/pages/2025_gim3d_paper/<div class="flex flex-row space-x-4"> <div class="flex-1" style="flex-grow: 3;"> <!-- begin columns block --> <p>In many fields such as sports training, rehabilitation, and virtual prototyping, the ability to communicate movement information rapidly, intuitively, and unambiguously is essential. In sports, a key challenge for coaches is conveying precise motion adjustments to athletes. This short paper introduces GIM3D, a user interface designed to enable fast and intuitive manipulation of 3D running movements generated. A pilot study with five participants shows a strong willingness to use the tool (F-SUS score = 85.5). The UEQ S resulted an overall average of 2, with higher pragmatic quality (2.35) than hedonic (1.65). Users found the tool supportive, clear, and efficient. Initial results demonstrate the efficiency and plausibility of the generated movements, highlighting the potential of GIM3D as a tool for both practitioners and researchers in human motion science.</p>