Rethinking technological acceptance in the age of emotional AI: Surveying Gen Z (Zoomer) attitudes toward non-conscious data collection
Rethinking technological acceptance in the age of emotional AI: Surveying Gen Z (Zoomer) attitudes toward non-conscious data collection
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DOI：
10.1016/j.techsoc.2022.102011
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发表时间：
2022-08-01
影响因子：
9.2
通讯作者：
Vuong, Quan-Hoang
中科院分区：
文献类型：
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作者：
Ho, Manh-Tung;Mantello, Peter;Vuong, Quan-Hoang
本文探讨了自动情绪传感设备和无意识数据收集（NCDC）的技术接受。我们认为，传统的世纪人机关系的学术研究在智能机器的时代是不合适的，智能机器可以感知、监控和跟踪人类的情感、情绪和感觉。我们使用贝叶斯汉密尔顿蒙特卡罗方法对来自全球48个国家和8个地区的1015名Z世代学生受访者（年龄18-27岁）的数据集进行回归分析。实证结果突出了社会文化因素的重要性，影响技术接受这一特定的世代人口。我们的研究结果还表明，传统的理论，如戴维斯的“技术接受模型”在会计的跨文化因素，如宗教和地区，鉴于新技术的跨国转移的优势，但也有固有的局限性。此外，我们的研究结果强调了需要解决的重要治理和设计问题，以确保情感人工智能系统和设备服务于个人和社会的最佳利益。
This paper examines technological acceptance for automated emotion-sensing devices and non-conscious data collection (NCDC). We argue that conventional 20th century scholarship of human-machine relations is illequipped in the age of intelligent machines that sense, monitor, and tracks human sentiment, emotion, and feeling. We conduct a regression analysis on a dataset of 1015 Generation Z student respondents (age 18-27) from 48 countries and 8 regions worldwide using the Bayesian Hamiltonian Monte Carlo approach. The empirical results highlight the significance of sociocultural factors that influence technological acceptance by this specific generational demographic. Our findings also demonstrate the advantage but also the inherent limitation of traditional theories such as Davis's "Technological Acceptance Model" in accounting for of cross-cultural factors such as religions and regions, given the transfer of new technologies across borders. Moreover, our findings highlight important governance and design implications that need to be addressed to ensure that emotional AI systems and devices serve the best interests of individuals and societies.