Lune

CHI2026Top-tier venue

ChatLearn: Leveraging Non-Native Speaker Communication Challenges as Language Learning Opportunities

Peinuan Qin, Yugin Tan, Jingzhu Chen, Nattapat Boonprakong, Zicheng Zhu, Naomi Yamashita, Yi-Chieh Lee

2026Year
2Citations

Abstract

Non-native speakers (NNSs) face significant language barriers in multilingual communication with native speakers (NSs). While AI-mediated communication (AIMC) tools offer efficient one-time assistance, they often overlook opportunities for NNSs’ continuous language acquisition. We introduce ChatLearn, an enhanced AIMC system that leverages NNSs’ communication difficulties as learning opportunities. Beyond comprehension and expression assistance, ChatLearn simultaneously captures NNSs’ language challenges, and subsequently provides them with spaced review as the conversation progresses. We conducted a mixed-methods study using a communication task with 43 NNS-NS pairs, after which ChatLearn NNSs recalled significantly more expressions than the baseline group, while there was no substantial decline in communication experience. Our findings highlight the value of contextual learning in NNS-NS communication, providing a new direction for AIMC systems that foster both immediate collaboration and continuous language development.

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

lune papers fulltext 2de925cc-7de1-4b1c-b9bb-e44c470139d3

Builds on8

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines