activity
20242026
most citedUnderstanding the Effects of Miscalibrated AI Confidence on User Trust, Reliance, and Decision Efficacy

14 citations · 22 across the 13 of their papers we have counts for

collaborators

15 papers

cs.HC2026

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…

cs.HC2026

Alignment and Divergence between Humans and AI in Interpersonal Privacy Decisions

Hanxiang Zeng, Shuning Zhang, Xinyuan Zhou +5

AI assistants increasingly mediate interpersonal communication on behalf of their primary user, but they risk violating the privacy expectations of third-party information owners.…

cs.AI2026

When Does AI Augment Work? A Workflow-Level Framework for Human-Agent Collaboration

AI Collaboration, Jiaying Wu, Caleb Ziems +19

We aim to characterise the value of artificial intelligence in the workplace. Current studies largely measure this value in terms of the current automation capabilities and public…

cs.HC2026

Understanding and Supporting Online Discussion with Opinionated Chatbots

Tianqi Song, Chi-Lan Yang, Zihan Liu +3

Opinionated chatbots are increasingly present on online platforms and have the potential to shape public discourse by influencing individuals' viewpoints before they engage in disc…

cs.HC2026

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…

cs.HC2026

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…

cs.HC2026

Understanding Older Adults' Experiences of Support, Concerns, and Risks from Kinship-Role AI-Generated Influencers

Tianqi Song, Black Sun, Jingshu Li +4

AI-generated influencers are rapidly gaining popularity on Chinese short-video platforms, often adopting kinship-based roles such as AI grandchildren to attract older adults. Altho…

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

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★ 2 cited

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…

cs.HC2025

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…

cs.HC2025★ 2 cited

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…

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

Mitigating Ageism through Virtual Reality: Intergenerational Collaborative Escape Room Design

Ruotong Zou, Shuyu Yin, Tianqi Song +2

As virtual reality (VR) becomes more popular for intergenerational collaboration, there is still a significant gap in research regarding understanding the potential for reducing ag…

cs.AI2024★ 14 cited

Understanding the Effects of Miscalibrated AI Confidence on User Trust, Reliance, and Decision Efficacy

Jingshu Li, Yitian Yang, Renwen Zhang +4

Providing well-calibrated AI confidence can help promote users' appropriate trust in and reliance on AI, which are essential for AI-assisted decision-making. However, calibrating A…