2 citations · 11 across the 14 of their papers we have counts for
15 papers
When My Skill Becomes Agent Skill: How Knowledge Workers Share Their Expertise with AI Systems
Tianqi Song, Zicheng Zhu, Hancheng Cao +1
Organizations have long sought to make workers' expertise reusable by others. Agentic AI changes the nature of such reuse by enabling AI systems to act on workers' knowledge with l…
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…
Designing with Tensions: Older Adults' Emotional Support-Seeking Under System-Level Constraints in Conversational AI
Mengqi Shi, Tianqi Song, Zicheng Zhu +1
Older adults have increasingly turned to conversational AI as a source of emotional support. However, little is known about how emotionally supportive interactions are experienced…
When Humans Don't Feel Like an Option: Contextual Factors That Shape When Older Adults Turn to Conversational AI for Emotional Support
Mengqi Shi, Tianqi Song, Zicheng Zhu +1
Older adults are increasingly turning to conversational AI for emotional expression. While prior research has examined general attitudes toward AI companionship, little is known ab…
InterPilot: Exploring the Design Space of AI-assisted Job Interview Support for HR Professionals
Zhengtao Xu, Zimo Xia, Zicheng Zhu +5
Recruitment interviews are cognitively demanding interactions in which interviewers must simultaneously listen, evaluate candidates, take notes, and formulate follow-up questions.…
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…
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…
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…
Who You Explain To Matters: Learning by Explaining to Conversational Agents with Different Pedagogical Roles
Zhengtao Xu, Junti Zhang, Anthony Tang +1
Conversational agents are increasingly used in education for learning support. An application is "learning by explaining", where learners explain their understanding to an agent. H…
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…
AI-Based Speaking Assistant: Supporting Non-Native Speakers' Speaking in Real-Time Multilingual Communication
Peinuan Qin, Zicheng Zhu, Naomi Yamashita +3
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 develo…
AI Literacy Education for Older Adults: Motivations, Challenges and Preferences
Eugene Tang KangJie, Tianqi Song, Zicheng Zhu +2
As Artificial Intelligence (AI) becomes increasingly integrated into older adults' daily lives, equipping them with the knowledge and skills to understand and use AI is crucial. Ho…
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…
From Interaction to Attitude: Exploring the Impact of Human-AI Cooperation on Mental Illness Stigma
Tianqi Song, Jack Jamieson, Tianwen Zhu +2
AI conversational agents have demonstrated efficacy in social contact interventions for stigma reduction at a low cost. However, the underlying mechanisms of how interaction design…
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…