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Auteurs principaux: 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
Format: Preprint
Publié: 2025
Sujets:
Accès en ligne:https://arxiv.org/abs/2510.08227
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author 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
author_facet 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
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2510_08227
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Practicing a Second Language Without Fear: Mixed Reality Agents for Interactive Group Conversation
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
Human-Computer Interaction
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.
title Practicing a Second Language Without Fear: Mixed Reality Agents for Interactive Group Conversation
topic Human-Computer Interaction
url https://arxiv.org/abs/2510.08227