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

要旨

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.

著者
Zihan Liu
National University of Singapore, Singapore, Singapore
Han Li
National University of Singapore, Singapore, Singapore
Anfan Chen
The Hong Kong Baptist University, Hong Kong, Hong Kong
Renwen Zhang
National University of Singapore, Singapore, Singapore
YI-CHIEH LEE
National University of Singapore, Singapore, Singapore
論文URL

https://doi.org/10.1145/3613904.3642840

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Algorithmic Trust and Censorship

315
5 件の発表
2024-05-16 20:00:00
2024-05-16 21:20:00