Peinuan Qin

schoolNational University of Singaporebar_chart#1767 Global Rank

Total Papers

HCI Rank

#1767

Research Areas

Years Active

Recent Publications

AI Personalization Paradox: Reading Highlights for Personalized AI-Assisted Writing Increases Engagement but Undermines Autonomy and Ownership

AI-assisted writing raises concerns about autonomy and ownership when benefiting writers. Personalization has been proposed as an effective solution while also risking writers' reliance on AI and behavior shifting. For better personalization design, existing studies rely on interaction and information solely within th…

CHI '261st AuthorMultilingual & Cross-Cultural Voice Interaction +2

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

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…

CHI '263rd AuthorHonorable MentionComputational Methods in HCI +2

Designing Computational Tools for Exploring Causal Relationships in Qualitative Data

Exploring causal relationships for qualitative data analysis in HCI and social science research enables the understanding of user needs and theory building. However, current computational tools primarily characterize and categorize qualitative data; the few systems that analyze causal relationships either inadequately…

CSCW '251st AuthorVoice Technology

AI-Based Speaking Assistant: Supporting Non-Native Speakers’ Speaking in Real-Time Multilingual Communication

Non-native speakers (NNSs) often face speaking challenges in real-time multilingual communication, such as struggling to articulate their thoughts. To address this issue, we developed an AI-based speaking assistant (AISA) that provides speaking references for NNSs based on their input queries, task background, and con…

CHI '251st AuthorHuman-LLM Collaboration +1

Timing Matters: How Using LLMs at Different Timings Influences Writers' Perceptions and Ideation Outcomes in AI-Assisted Ideation

Large Language Models (LLMs) have been widely used to support ideation in the writing process. However, whether generating ideas with the help of LLMs leads to idea fixation or idea expansion is unclear. This study examines how different timings of LLM usage - either at the beginning or after independent ideation - af…

CHI '255th+ AuthorMid-Air Haptics (Ultrasonic) +2

Deconstructing Depression Stigma: Integrating AI-driven Data Collection and Analysis with Causal Knowledge Graphs

Mental-illness stigma is a persistent social problem, hampering both treatment-seeking and recovery. Accordingly, there is a pressing need to understand it more clearly, but analyzing the relevant data is highly labor-intensive. Therefore, we designed a chatbot to engage participants in conversations; coded those conv…

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