Emotion Based Prediction in the Context of Optimized Trajectory Planning for Immersive Learning
원문 초록
In the virtual elements of immersive learning, the use of Google Expedition and touch-screen-based emotion are examined. The objective is to investigate possible ways to combine these technologies to enhance virtual learning environments and learners emotional engagement. Pedagogical application, affordances, and cognitive load are the corresponding measures that are involved. Students will gain insight into the reason behind their significantly higher post-assessment Prediction Systems scores compared to preassessment scores through this work that leverages technology. This suggests that it is effective to include emotional elements in immersive learning scenarios. The results of this study may help develop new strategies by leveraging the features of immersive learning technology in educational technologies to improve virtual reality and augmented reality experiences. Furthermore, the effectiveness of immersive learning environments can be raised by utilizing magnetic, optical, or hybrid trackers that considerably improve object tracking.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
HiM2SAM: Enhancing SAM2 with Hierarchical Motion Estimation and Memory Optimization towards Long-term Tracking
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions
Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking
Visual and Memory Dual Adapter for Multi-Modal Object Tracking
Epona: Autoregressive Diffusion World Model for Autonomous Driving
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning
토론
이 논문과 연결된 포럼 글이 아직 없습니다.