调和健康主义和技术解决主义:数字心理健康试验的观察研究
1Department of Communication, UC San Diego, La Jolla, California, USA.
Sociology of health & illness
|June 20, 2023
概括
数字精神病学系统使用可穿戴数据来改善情绪,但这项研究揭示了一个悖论. 该系统赋予用户权力,同时要求自律,强调人类导游的关键,但被忽视的角色.
科学领域:
- 数字精神病学数字精神病学
- 人与计算机的互动.
- 行为科学是一种行为科学.
背景情况:
- 算法系统越来越多地将可穿戴设备数据与自我报告的情绪相关联.
- 这些系统为改善情绪提供行为修改建议.
- 该研究探讨了数字精神病学中这种系统的发展.
研究的目的:
- 观察数字精神病学系统的发展.
- 分析参与者机构和技术赋权的概念化.
- 研究人类指南在解释算法输出和建议中的作用.
主要方法:
- 对数字精神病学系统发展的观察性研究.
- 对试验描述和参与者与系统相互作用的分析.
- 对人类导游的角色和感知进行定性检查.
主要成果:
- 该系统的发展强调参与者激励和机器学习 (ML) 赋权,通过纪律创造自由的新自由主义悖论.
- 在ML系统和参与者之间的代理权平衡方面存在分歧.
- 人类导游扮演着关键的,但在形式上被最小化的角色,通常被归咎于试验的技术方面.
结论:
- 数字精神病学系统的概念化创造了一个代理和控制的悖论.
- 人类导游的基本作用被掩盖了,他们的工作被视为纯粹的技术.
- 了解指南的贡献对于更准确地了解数字心理健康干预措施至关重要.
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