5 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.HC2024
Recover as It is Designed to Be: Recovering from Compatibility Mobile App Crashes by Reusing User Flows
Donghwi Kim, Hyungjun Yoon, Chang Min Park +4
Android OS is severely fragmented by API updates and device vendors' OS customization, creating a market condition where vastly different OS versions coexist. This gives rise to co…
cs.HC2024
Design Opportunities for Explainable AI Paraphrasing Tools: A User Study with Non-native English Speakers
Yewon Kim, Thanh-Long V. Le, Donghwi Kim +2
We investigate how non-native English speakers (NNESs) interact with diverse information aids to assess and select AI-generated paraphrases. We develop ParaScope, an AI paraphrasin…
cs.CL2023★ 5 cited
Towards Explainable AI Writing Assistants for Non-native English Speakers
Yewon Kim, Mina Lee, Donghwi Kim +1
We highlight the challenges faced by non-native speakers when using AI writing assistants to paraphrase text. Through an interview study with 15 non-native English speakers (NNESs)…