为中国大学生开发和验证对话式AI依赖度表
Yuanyuan Chen1, Mengyun Wang2, Shujuan Yuan1
1Department of Psychology, Shaanxi University of Technology, Hanzhong, China.
Frontiers in psychology
|August 18, 2025
概括
过度依赖对话式人工智能 (CAI) 对大学生产生了负面影响. 新的CAI依赖度表 (CAIDS) 显示了高度的依赖程度,并将其与不良的心理结果联系起来.
科学领域:
- 心理学 心理学 心理学
- 人与计算机的交互
- 数字福利 数字福利
背景情况:
- 人们越来越依赖对话式人工智能 (CAI),因此需要对其心理影响进行经验评估.
- 现有的研究缺乏验证的仪器来衡量CAI依赖性.
研究的目的:
- 开发和心理验证CAI依赖度表 (CAIDS),用于评估中国大学生对CAI的依赖.
- 探索该人口中CAI依赖的流行率和相关性.
主要方法:
- 定性访谈和问题性互联网使用 (PIU) 理论为项目开发提供了信息.
- 探索性和确认性因子分析 (EFA,CFA) 验证了CAIDS结构.
- 一项横截面调查评估了CAI依赖程度和心理结果.
主要成果:
- 20项CAIDS的四个维度 (无法控制,退出,情绪改变,负面影响) 显示出良好的可靠性和有效性.
- 在中国大学生中观察到高水平的CAI依赖,根据人口统计数据而有所不同.
- CAI依赖性正面预测了负面的心理结果,负面预测了主观幸福感.
结论:
- CAIDS是衡量CAI依赖性的可靠和有效工具.
- 在大学生中,CAI依赖性很普遍,并与不良的心理影响有关.
- 建议对CAIDS进行进一步的跨文化验证.
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