视频游戏引擎作为新的"虚拟"斯金纳盒
Michael E Young1,2, Patrick M Hancock2, Lucas Watson2
1Baylor University, Waco, TX, USA.
Journal of the experimental analysis of behavior
|January 8, 2026
概括
这项研究建议使用视频游戏引擎来推进操作行为研究. 这种创新方法增强了实验控制,并扩大了行为分析的范围,以获得更大的现实世界的相关性.
科学领域:
- 行为科学 行为科学
- 心理学 心理学 心理学
- 人与计算机的交互
背景情况:
- 斯金纳盒子是研究操作者的行为的一个传统工具.
- 技术的进步导致了更复杂的操作室.
- 需要更灵活,更现实的实验范式.
研究的目的:
- 倡导使用视频游戏引擎来研究人类操作行为.
- 突出游戏引擎在行为研究中的优势.
- 扩大行为分析中可解决的研究问题范围.
主要方法:
- 使用视频游戏引擎进行操作者调节实验.
- 实施动态刺激表现和复杂的强化计划.
- 利用持续的行为跟踪进行详细分析.
主要成果:
- 游戏引擎提供高灵活性,控制和现实主义.
- 它们可以研究各种研究问题,包括因果推理和延迟折扣.
- 刺激,反应和结果的变化增加增加了概括性.
结论:
- 视频游戏引擎代表了行为分析的重大创新.
- 这种方法增加了行为研究对现实世界现象的相关性.
- 采用游戏引擎为未来的研究和创新提供了一个有希望的方向.
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