Practicing a Second Language Without Fear: Mixed Reality Agents for Interactive Group Conversation
Year: 2025
Type: preprint
Abstract: Developing speaking proficiency in a second language can be cognitively demanding and emotionally taxing, often triggering fear of making mistakes or being excluded from larger groups. While current learning tools show promise for speaking practice, most focus on dyadic, scripted scenarios, limiting opportunities for dynamic group interactions. To address this gap, we present ConversAR, a Mixed Reality system that leverages Generative AI and XR to support situated and personalized group conversations. It integrates embodied AI agents, scene recognition, and generative 3D props anchored to real-world surroundings. Based on a formative study with experts in language acquisition, we developed and tested this system with a user study with 21 second-language learners. Results indicate that the system enhanced learner engagement, increased willingness to communicate, and offered a safe space for speaking. We discuss the implications for integrating Generative AI and XR into the design of future language learning applications.
Source: arXiv (Cornell University)
Authors: Fernandez-Espinosa, Mariana, Zhang, Kai, Bendarkawi, Jad, Ponce, Ashley, Mata, Sean Chidozie, Aliu, Aminah, Zhang, Lei, Medina, Francisco Fernandez, Mangione-Lora, Elena, Monroy-Hernandez, Andres, Gomez-Zara, Diego
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W4416384146
Cites:
Cited by:
Related to:
