Tianling Xie
Papers
1
Total Citations
2
H-Index
1
About
Tianling Xie is a researcher focused on the intersection of human-computer interaction, trust dynamics, and artificial intelligence, with a particular emphasis on social conversational agents. Their work investigates how users develop emotional and cognitive trust in AI-driven systems, a critical area as these technologies become increasingly integrated into daily life. In their notable 2023 study, "Emotional and Cognitive Trust in Social Conversational Agents: An Abstract," Xie explores the nuanced psychological mechanisms that underpin user reliance on and rapport with conversational agents, offering foundational insights for designing more trustworthy and empathetic AI interfaces. While the paper currently holds 2 citations, its conceptual framework is poised to influence future research in human-AI relationships and user experience design. Xie’s contributions are particularly relevant for students and researchers in human-centered computing, social robotics, and trust in technology, as they bridge theoretical models of trust with practical applications in agent design. Their work underscores the importance of considering both emotional and cognitive dimensions in creating AI that users can genuinely rely on.
Research Focus
Key Achievements
Top Papers
- 1