9 citations · 18 across the 15 of their papers we have counts for
15 papers
ASIDE: From Conflict Participants to Co-Observers Through Dyadic Spectator Reflection
Xinyi Zhang, Jingting He, Zicheng Zhu +1
When two people argue over text, each knows what they meant and can only guess what the other was thinking. Existing AI reflection tools work from one person's account, and dyadic…
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…
Alleviating Linguistic and Interactional Anxiety of Non-Native Speakers in Multilingual Communication
Peinuan Qin, Justin Peng, Zhengtao Xu +4
Non-native speakers (NNSs) frequently encounter speaking difficulties in multilingual communication, where existing approaches have shown promise in facilitating NNSs' comprehensio…
ConvScale: Conversational Interviews for Scale-Aligned Measurement
Peinuan Qin, Jingzhu Chen, Yitian Yang +3
Conversational interviews are commonly used to complement structured surveys by eliciting rich and contextualized responses, which are typically analyzed qualitatively. However, th…
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…
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…
AI-exhibited Personality Traits Can Shape Human Self-concept through Conversations
Jingshu Li, Tianqi Song, Nattapat Boonprakong +3
Recent Large Language Model (LLM) based AI can exhibit recognizable and measurable personality traits during conversations to improve user experience. However, as human understandi…
Exploring the Effects of Chatbot Anthropomorphism and Human Empathy on Human Prosocial Behavior Toward Chatbots
Jingshu Li, Zicheng Zhu, Renwen Zhang +1
Chatbots are increasingly integrated into people's lives and are widely used to help people. Recently, there has also been growing interest in the reverse direction-humans help cha…
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…
Mining Evidence about Your Symptoms: Mitigating Availability Bias in Online Self-Diagnosis
Junti Zhang, Zicheng Zhu, Jingshu Li +1
People frequently exposed to health information on social media tend to overestimate their symptoms during online self-diagnosis due to availability bias. This may lead to incorrec…
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…