2 citations · 7 across the 9 of their papers we have counts for
11 papers · 1 filter
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…