不同的受众如何与用户的情绪表达有关,在一个健康应用程序上
Maya Topitzer1, Yueming Kou1, Robert Kasumba2
1Columbia University Mailman School of Public Health, Department of Biostatistics.
概括
移动福利应用程序通过写作影响情绪表达. 研究表明,当用户为特定的受众写作时,他们的叙述会变得更长,表达更多的快乐,负面情绪更少.
科学领域:
- 数字健康数字健康
- 心理学 心理学 心理学
- 自然语言处理自然语言处理.
背景情况:
- 情绪健康的移动应用程序迅速增加.
- 有限的研究存在于这些应用程序中的用户交互和治疗联盟形成,特别是通过写作.
- 写作是处理和表达情感的关键实践,语言特征反映了情感.
研究的目的:
- 为了研究观众如何影响用户在健康应用程序中以书面形式表达情绪.
- 分析用户生成文本与观众有关的语言特征.
- 了解写作在发展数字心理健康工具治疗联盟中的作用.
主要方法:
- 利用IBM沃森的自然语言处理 (NLP) 软件来分析用户生成的文本.
- 根据用户是否向明确的受众写信,研究了情绪表达的差异.
- 应用叙事理论和识字理论来解释文字的语言特征.
主要成果:
- 观众对用户如何在写作中表达情绪产生了重大影响.
- 向一个明确的受众写作导致了更长的叙述.
- 写给观众的用户表现出更少的悲伤,愤怒和厌恶,更多的快乐.
结论:
- 预期的受众是塑造幸福应用程序中的情绪表达的关键因素.
- 研究结果为设计和开发更有效的数字心理健康干预提供了有价值的见解.
- 了解特定受众的写作模式可以增强健康应用的治疗潜力.
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