通过人工智能增强的移动平台利用学生运动员心理健康:ThriveNudge研究协议
Sameer Chakraborty1, Nicholas Mendro2,3, Longxi Li3
1Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA 98105, USA.
Behavioral sciences (Basel, Switzerland)
|February 27, 2026
概括
这项研究介绍了ThriveNudge,一个人工智能应用程序,帮助教练支持年轻运动员的心理健康. 早期结果表明,它可以减少运动员的焦虑和倦怠,同时改善动机和教练关系.
科学领域:
- 体育心理学 体育心理学
- 青少年健康 青少年健康
- 数字健康干预措施 数字健康干预措施
背景情况:
- 年轻运动员面临着严重的心理健康挑战,如焦虑和倦怠.
- 教练在确定和支持运动员福祉方面发挥着至关重要的作用.
- 现有的监测运动员心理健康的方法往往是不够的.
研究的目的:
- 评估人工智能增强型移动应用ThriveNudge在促进年轻运动员心理健康方面的有效性.
- 评估ThriveNudge对运动员倦怠,动机,教练与运动员关系以及体育享受的影响.
- 通过定性数据探索用户体验和界面效率.
主要方法:
- 一个混合方法设计,涉及一个集群随机对照试验.
- 招募四支校际队伍 (年龄在14-18岁的运动员) 和他们的教练.
- 干预组使用ThriveNudge进行监控和通信;等候名单对照组.
- 心理测量尺度用于定量结果;半结构面试用于定性见解.
主要成果:
- 假设的结果包括减少运动员焦虑和干预组的倦怠.
- 使用ThriveNudge的运动员预计会增加内在动机和体育享受.
- 在使用该应用程序的团队中,预计会改善教练与运动员之间的关系.
结论:
- "ThriveNudge"是一个可扩展的数字工具,有望保护年轻运动员的心理健康.
- 人工智能增强应用程序可以使教练能够及时有效地提供心理健康支持.
- 进一步的研究将验证这种干预措施的长期影响和更广泛的适用性.
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