activity
20222026
most citedFacilitating Global Team Meetings Between Language-Based Subgroups: When and How Can Machine Translation Help?

9 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2026★ 1 cited

Are Conversational AI Agents the Way Out? Co-Designing Reader-Oriented News Experiences with Immigrants and Journalists

Yongle Zhang, Ge Gao

Recent discussions at the intersection of journalism, HCI, and human-centered computing ask how technologies can help create reader-oriented news experiences. The current paper tak…

cs.CL2025

Toward Machine Translation Literacy: How Lay Users Perceive and Rely on Imperfect Translations

Yimin Xiao, Yongle Zhang, Dayeon Ki +5

As Machine Translation (MT) becomes increasingly commonplace, understanding how the general public perceives and relies on imperfect MT is crucial for contextualizing MT research i…

cs.HC2025★ 5 cited

The News Says, the Bot Says: How Immigrants and Locals Differ in Chatbot-Facilitated News Reading

Yongle Zhang, Phuong-Anh Nguyen-Le, Kriti Singh +1

News reading helps individuals stay informed about events and developments in society. Local residents and new immigrants often approach the same news differently, prompting the qu…

cs.HC2024★ 1 cited

Assisting International Migrants with Everyday Information Seeking: From the Providers' Lens

Yongle Zhang, Ge Gao

International migrants face difficulties obtaining information for a quality life and well-being in the host country. Prior research indicates that international migrants often see…

cs.CL2022★ 9 cited

Facilitating Global Team Meetings Between Language-Based Subgroups: When and How Can Machine Translation Help?

Yongle Zhang, Dennis Asamoah Owusu, Marine Carpuat +1

Global teams frequently consist of language-based subgroups who put together complementary information to achieve common goals. Previous research outlines a two-step work communica…