Understanding Public Perceptions of AI Conversational Agents: A Cross-Cultural Analysis
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Abstract (arXiv)
Conversational Agents (CAs) have increasingly been integrated into everyday life, sparking significant discussions on social media. While previous research has examined public perceptions of AI in general, there is a notable lack in research focused on CAs, with fewer investigations into cultural variations in CA perceptions. To address this gap, this study used computational methods to analyze about one million social media discussions surrounding CAs and compared people's discourses and perceptions of CAs in the US and China. We find Chinese participants tended to view CAs hedonically, perceived voice-based and physically embodied CAs as warmer and more competent, and generally expressed positive emotions. In contrast, US participants saw CAs more functionally, with an ambivalent attitude. Warm perception was a key driver of positive emotions toward CAs in both countries. We discussed practical implications for designing contextually sensitive and user-centric CAs to resonate with various users' preferences and needs.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 9 of its 119 references that are in the map. First posted on arXiv 25 Feb 2024.
Builds on
9 of 119 references.
References · 9
- 2022BERTopic: Neural topic modeling with a class-based TF-IDF procedurecited by 779
- 2018The Design and Implementation of XiaoIce, an Empathetic Social Chatbotcited by 172
- 2019What Makes a Good Conversation? Challenges in Designing Truly Conversational Agentscited by 42
- 2016Long-Term Trends in the Public Perception of Artificial Intelligencecited by 22
- 2019Exciting, Useful, Worrying, Futuristic: Public Perception of Artificial Intelligence in 8 Countriescited by 20
- 2021Alexa, Google, Siri: What are Your Pronouns? Gender and Anthropomorphism in the Design and Perception of Conversational Assistantscited by 16
- 2022Are Deepfakes Concerning? Analyzing Conversations of Deepfakes on Reddit and Exploring Societal Implicationscited by 14
- 2020The Effect of Moderation on Online Mental Health Conversationscited by 12
- 2019Mapping Perceptions of Humanness in Speech-Based Intelligent Personal Assistant Interactioncited by 10
Built on by
Citing papers per year: 2024: 2; 2025: 2; 2026: 3.
7 papers.
- 2024AI Suggestions Homogenize Writing Toward Western Styles and Diminish Cultural Nuancescited by 59
- 2025Deconstructing Depression Stigma: Integrating AI-driven Data Collection and Analysis with Causal Knowledge Graphscited by 4
- 2025Beyond PII: How Users Attempt to Estimate and Mitigate Implicit LLM Inferencecited by 2
- 2026What if AI systems weren't chatbots?cited by 2
- 2024Esports Debut as a Medal Event at 2023 Asian Games: Exploring Public Perceptions with BERTopic and GPT-4 Topic Fine-Tuningcited by 1
- 2026MindfulAgents: Personalizing Mindfulness Meditation via an Expert-Aligned Multi-Agent Systemcited by 0
- 2026InnerPond: Fostering Inter-Self Dialogue with a Multi-Agent Approach for Introspectioncited by 0
- 2026What if AI systems weren't chatbots?8 May 2026
- 2026InnerPond: Fostering Inter-Self Dialogue with a Multi-Agent Approach for Introspection29 Mar 2026
- 2026MindfulAgents: Personalizing Mindfulness Meditation via an Expert-Aligned Multi-Agent System6 Mar 2026
- 2025Beyond PII: How Users Attempt to Estimate and Mitigate Implicit LLM Inference15 Sep 2025
- 2025Deconstructing Depression Stigma: Integrating AI-driven Data Collection and Analysis with Causal Knowledge Graphs9 Feb 2025
- 2024Esports Debut as a Medal Event at 2023 Asian Games: Exploring Public Perceptions with BERTopic and GPT-4 Topic Fine-Tuning27 Sep 2024
- 2024AI Suggestions Homogenize Writing Toward Western Styles and Diminish Cultural Nuances17 Sep 2024