行为改变的游戏化:数学原理和概念验证研究
Falk Lieder1,2, Pin-Zhen Chen2, Mike Prentice2
1Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States.
JMIR serious games
|March 22, 2024
概括
优化的游戏化在数字干预中显著增加了所需行为频率. 这种方法通过根据过去的表现动态调整奖励来增强习惯形成,使行为改变更有效.
科学领域:
- 行为科学 行为科学
- 数字健康数字健康
- 计算心理学 计算心理学
背景情况:
- 对于那些寻求更健康或更快乐的生活的人来说,改变行为是具有挑战性的.
- 游戏化,使用点来实现所需的行为,可以帮助改变行为.
研究的目的:
- 介绍一种数学方法,在行为改变中优化游戏化.
- 开发和测试一个聊天机器人,将这种方法应用于饮用水的习惯.
主要方法:
- 一个为期40天的实地实验将一个游戏化的聊天机器人与两个对照组进行了比较.
- 用自我报告习惯指数和每日日志来衡量参与者的饮水习惯.
主要成果:
- 优化的游戏化组在干预期间显示出明显更高的理想行为频率.
- 虽然习惯强度在所有组都增加,但游戏化和对照组之间的差异在干预后并不显著.
结论:
- 优化游戏化有望提高数字行为改变工具的有效性.
- 进一步的研究可能会探索这种方法的长期习惯可持续性.
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