[Paper Review] Emotion Based Prediction in the Context of Optimized Trajectory Planning for Immersive Learning

Akey Sungheetha, Rajesh Sharma R+1 more|arXiv (Cornell University)|Dec 18, 2023

Educational Games and Gamification11 citations

TL;DR

The paper investigates combining Google Expedition with touch-screen-based emotion to enhance immersive learning, evaluating pedagogical impact, cognitive load, and object-tracking improvements. It reports higher post-assessment prediction scores and discusses tracker technologies.

ABSTRACT

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.

Motivation & Objective

• Investigate how emotion-aware elements can be integrated into immersive learning environments.
• Assess the pedagogical applications and affordances of combining emotion with immersive technologies.
• Evaluate cognitive load implications in emotion-informed immersive learning scenarios.
• Analyze whether emotional elements improve learners' post-assessment outcomes.

Proposed method

• Use Google Expedition alongside touch-screen-based emotion measures in immersive learning contexts.
• Evaluate pedagogical application, affordances, and cognitive load as key measures.
• Propose trajectory optimization and emotion-based prediction within immersive learning setups.
• Explore magnetic, optical, or hybrid trackers to enhance object tracking within the environment.

Experimental results

Research questions

• RQ1 Does incorporating emotion elements into immersive learning environments improve learning outcomes?
• RQ2 What are the pedagogical affordances and cognitive load implications of emotion-based immersive learning?
• RQ3 How do tracking technologies (magnetic/optical/hybrid) affect the effectiveness of immersive learning with emotion-based prediction?

Key findings

• Learners showed significantly higher post-assessment prediction scores compared to pre-assessment scores.
• Incorporating emotional elements in immersive learning scenarios is suggested to be effective.
• Tracker technologies (magnetic, optical, or hybrid) can considerably improve object tracking in immersive environments.
• The study highlights potential strategies to leverage immersive learning features for enhanced VR/AR educational experiences.