生成型人工智能 (GenAI) 的使用和依赖:一种行为经济学的方法
Oscar Robayo-Pinzon1, Sandra Rojas-Berrio2, Jorge E Camargo3
1School of Management and Business, Universidad del Rosario, Bogotá, Colombia.
Frontiers in public health
|August 22, 2025
概括
年轻人对生成人工智能 (GenAI) 工具的依赖程度较低. 然而,人工智能聊天机器人的使用比金钱奖励具有更高的强化价值,特别是当它们立即可获得时.
科学领域:
- 行为经济学
- 人与计算机的交互
- 人工智能
背景情况:
- 生成型人工智能 (GenAI) 工具越来越普遍.
- 了解用户依赖和对人工智能交互的价值至关重要.
- 年轻人对人工智能使用的决策需要调查.
研究的目的:
- 探索年轻人对GenAI工具的依赖感.
- 比较人工智能聊天机器人使用与金钱奖励的增强价值.
- 将行为经济学框架应用于人工智能使用模式.
主要方法:
- 在哥伦比亚波哥大对420名大学生进行的在线调查
- 多选项程序 (MCP) 评估GenAI使用的相对强化与货币奖励.
- 用于数据分析的AI依赖度表和ANOVA.
主要成果:
- 报告的人工智能工具的平均依赖程度较低 (平均得分为65.6).
- 人工智能聊天机器人的使用显示出更高的相对价值,特别是在即时访问方面.
- 强化值随奖励大小和每日人工智能使用时间而有显著变化.
结论:
- 年轻人对GenAI工具的感知依赖程度低,但直接价值很高.
- 行为经济学提供了人工智能聊天机器人决策的见解.
- 需要进一步研究影响人工智能依赖的心理和社会因素.
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