most citedUnderstanding Public Perceptions of AI Conversational Agents: A Cross-Cultural Analysis

54 citations · 57 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2025

Deconstructing Depression Stigma: Integrating AI-driven Data Collection and Analysis with Causal Knowledge Graphs

Han Meng, Renwen Zhang, Ganyi Wang +4

Mental-illness stigma is a persistent social problem, hampering both treatment-seeking and recovery. Accordingly, there is a pressing need to understand it more clearly, but analyz…

cs.HC20251 cited

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…

cs.HC20252 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.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.HC202454 cited

Understanding Public Perceptions of AI Conversational Agents: A Cross-Cultural Analysis

Zihan Liu, Han Li, Anfan Chen +2

Conversational Agents (CAs) have increasingly been integrated into everyday life, sparking significant discussions on social media. While previous research has examined public perc…