通过数月的网页浏览数据评估人工智能使用及其心理相关性
Emily McKinley1, David M Markowitz2, Rui Zhu2
1Department of Communication, University of California, Davis, Davis, California, USA.
Cyberpsychology, behavior and social networking
|September 22, 2025
概括
人工智能 (AI) 的使用在日常浏览网络中并不频繁,仅占学生的1%和一般公众的0.44%. 厌恶的性格特征,而不是人口统计数据,预测人工智能采用,和自我报告不能完全捕捉实际使用.
科学领域:
- 心理学 心理学 心理学
- 人与计算机的交互
- 数字媒体研究 数字媒体研究
背景情况:
- 关于人工智能 (AI) 影响的公共话语广泛,但对真实世界AI使用的经验数据仍然很少.
- 客观地衡量人工智能在自然环境中的采用,是理解社会一体化的必要条件.
研究的目的:
- 客观地量化AI在学生和公众日常浏览网络中的使用频率.
- 确定与人工智能采用相关的心理和人口相关性.
- 将自我报告的AI使用与实际行为数据进行比较.
主要方法:
- 从499名学生 (研究1) 和455名普通公众参与者 (研究2) 收集了90天的网络浏览数据.
- 编码了超过410万个 (研究1) 和990万个 (研究2) 网站以识别AI使用情况.
- 进行心理特征评估和人口调查问卷.
主要成果:
- 人工智能使用约占学生浏览网页的1%,占公众浏览网页的0.44%.
- 厌恶的性格特征 (马基雅维利主义,自恋,精神病) 是一致的预测因素,尽管关联各不相同.
- 人口统计因素与人工智能使用的相关性很小.
- 自我报告的人工智能使用和实际使用呈现出中等相关性 (ρ = 0.329).
结论:
- 在日常浏览网络中采用人工智能目前并不常见.
- 个人心理倾向,特别是厌恶性特征,与人工智能使用有关.
- 行为数据比自我报告更准确地衡量人工智能使用情况,突出了主观媒体使用评估的局限性.
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