CameraReady: Assessing the Influence of Display Types and Visualizations on Posture Guidance
Authors
Computer-supported posture guidance is used in sports, dance training, expression of art with movements, and learning gestures for interaction. At present, the influence of display types and visualizations have not been investigated in the literature. These factors are important as they directly impact perception and cognitive load, and hence influence the performance of participants. In this paper, we conducted a controlled experiment with 20 participants to compare the use of five display types with different screen sizes: smartphones, tablets, desktop monitors, TVs, and large displays. On each device, we compared three common visualizations for posture guidance: skeletons, silhouettes, and 3d body models. To conduct our assessment, we developed a mobile and cross-platform system that only requires a single camera. Our results show that compared to a smartphone display, larger displays show a lower error (12%). Regarding the choice of visualization, participants rated 3D body models as significantly more usable in comparison to a skeleton visualization.
Research Questions / Practical Problems
Question signals indexed for this paper.
- 75%
Designing and Evaluating an Advanced Dance Video Comprehension Tool with In-situ Move Identification Capabilities
CHI '24· Human Pose & Activity Recognition +1
- 75%
Enhancing the Educational Potential of Online Movement Videos: System Development and Empirical Studies with TikTok Dance Challenges
CHI '25· Dance & Body Movement Computing
- 60%
danceON: Culturally Responsive Creative Computing
CHI '21· Full-Body Interaction & Embodied Input +1
- 60%
Supporting Perception of Spatiality in Dance in Augmented Reality
C&C '23· AR Navigation & Context Awareness +1
Based on Jaccard similarity of research subtopics & professions (≥60%)