activity
20222026
most citedEmpowering Social Service with AI: Insights from a Participatory Design Study with Practitioners

4 citations · 14 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CY2026

Reshaping Undergraduate Computer Science Education in the Generative AI Era

Yi-Chieh Lee, Nattapat Boonprakong, Yugin Tan +20

Generative AI represents a turning point for Computer Science (CS) education. In recent decades, post-secondary CS education has largely focused on what has been seen as practical…

cs.HC2026★ 2 cited

Multi-Agent Systems Shape Social Norms for Prosocial Behavior Change

Yibin Feng, Tianqi Song, Yugin Tan +2

Social norm interventions are used promote prosocial behaviors by highlighting prevalent actions, but their effectiveness is often limited in heterogeneous populations where shared…

cs.HC2026★ 1 cited

AI Personalization Paradox: Personalized AI Increases Superficial Engagement in Reading while Undermines Autonomy and Ownership in Writing

Peinuan Qin, Chi-Lan Yang, Nattapat Boonprakong +3

AI-assisted writing raises concerns about autonomy and ownership when benefiting writers. Personalization has been proposed as an effective solution while also risking writers' rel…

cs.HC2026★ 1 cited

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

Peinuan Qin, Yugin Tan, Jingzhu Chen +4

Non-native speakers (NNSs) face significant language barriers in multilingual communication with native speakers (NSs). While AI-mediated communication (AIMC) tools offer efficient…

cs.HC2026

Conversational AI for Social Good (CAI4SG): An Overview of Emerging Trends, Applications, and Challenges

Yi-Chieh Lee, Junti Zhang, Tianqi Song +1

The integration of Conversational Agents (CAs) into daily life offers opportunities to tackle global challenges, leading to the emergence of Conversational AI for Social Good (CAI4…

cs.HC2026★ 1 cited

Fit Matters: Format-Distance Alignment Improves Conversational Search

Yitian Yang, Yugin Tan, Jung-Tai King +2

Existing conversational search systems can synthesize information into responses, but they lack principled ways to adapt response formats to users' cognitive states. This paper inv…

cs.HC2025★ 4 cited

Empowering Social Service with AI: Insights from a Participatory Design Study with Practitioners

Yugin Tan, Kai Xin Soh, Renwen Zhang +4

In social service, administrative burdens and decision-making challenges often hinder practitioners from performing effective casework. Generative AI (GenAI) offers significant pot…

cs.HC2025★ 1 cited

The Benefits of Prosociality towards AI Agents: Examining the Effects of Helping AI Agents on Human Well-Being

Zicheng Zhu, Yugin Tan, Naomi Yamashita +2

Prosocial behaviors, such as helping others, are well-known to enhance human well-being. While there is a growing trend of humans helping AI agents, it remains unclear whether the…

cs.AI2024★ 2 cited

Multi-Agents are Social Groups: Investigating Social Influence of Multiple Agents in Human-Agent Interactions

Tianqi Song, Yugin Tan, Zicheng Zhu +2

Multi-agent systems - systems with multiple independent AI agents working together to achieve a common goal - are becoming increasingly prevalent in daily life. Drawing inspiration…

cs.HC2024★ 1 cited

Understanding How Psychological Distance Influences User Preferences in Conversational Versus Web Search

Yitian Yang, Yugin Tan, Yang Chen Lin +3

Conversational search offers an easier and faster alternative to conventional web search, while having downsides like lack of source verification. Research has examined performance…

cs.CL2022★ 1 cited

Whodunit? Learning to Contrast for Authorship Attribution

Bo Ai, Yuchen Wang, Yugin Tan +1

Authorship attribution is the task of identifying the author of a given text. The key is finding representations that can differentiate between authors. Existing approaches typical…