Work

Structured Teaching Prompt Articulation for Generative-AI Role Embodiment with Augmented Mirror Video Displays

Year: 2024

Type: conference-paper

Abstract: We present a classroom enhanced with augmented reality video display in which students adopt snapshots of their corresponding virtual personas according to their teacher’s live articulated spoken educational theme, linearly, such as historical figures, famous scientists, cultural icons, and laterally according to archetypal categories such as world dance styles. We define a structure of generative AI prompt guidance to assist teachers with focused specified visual role embodiment stylization. By leveraging role-based immersive embodiment, our proposed approach enriches pedagogical practices that prioritize experiential learning.

Source: ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry (VRCAI)

DOI: 10.1145/3703619.3706049

Authors: Llogari Casas, Kenny Mitchell

Institution: Edinburgh Napier University

Language: English

Topic: Augmented Reality Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: hybrid

Funder: Universitas Brawijaya