当前位置: X-MOL 学术Communication Studies › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
How Do Traditional Media Function in Social Learning about AI? Psychological and Cognitive Reactions to AI-Powered Communication
Communication Studies ( IF 1.4 ) Pub Date : 2021-12-07 , DOI: 10.1080/10510974.2021.2011357
Yiwei Li 1 , Yu Guo 2 , Siyu Liu 2
Affiliation  

ABSTRACT

This exploratory study examines how young Japanese people’s emotion, risk-benefit perception, and interaction intention toward AI-powered communication robots are related to their media exposure. Analyses were based on data collected from a sample of 141 Japanese college students. Findings suggest that reading newspapers can foster positive emotion, which tends to be not only associated with higher perceived benefits and lower perceived risk but also have the potential to increase intentions to interact with AI-powered communication robots; however, watching television can contribute directly to reduced interaction intentions. Using Internet-based media seems to play no essential role in motivating changes in reactions. Findings of this study shed light on the public acceptance of AI technology and have practical implications for facilitating the application of AI technology in everyday life.



中文翻译:

传统媒体如何在人工智能的社交学习中发挥作用?对人工智能交流的心理和认知反应

摘要

这项探索性研究考察了日本年轻人对人工智能通信机器人的情绪、风险收益感知和交互意图与他们的媒体曝光之间的关系。分析基于从 141 名日本大学生样本中收集的数据。研究结果表明,阅读报纸可以培养积极的情绪,这往往不仅与更高的感知收益和更低的感知风险相关,而且还有可能增加与人工智能通信机器人互动的意图;然而,看电视会直接导致互动意图的减少。使用基于互联网的媒体似乎在激发反应变化方面没有发挥重要作用。

更新日期:2021-12-27
down
wechat
bug