人工智能集成应用GymBuddy和Elomia对心理障碍学生心理健康的影响

IF 2.7 3区 心理学 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
Jing Jiang, Yang Yang
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引用次数: 0

摘要

背景:数字心理健康干预措施,包括人工智能集成应用,越来越多地用于支持心理困扰症状加重的个体。然而,在了解它们对学生群体的具体功效方面存在差距。目的:本研究旨在调查人工智能健身和问责应用程序GymBuddy和基于人工智能的心理健康聊天机器人Elomia对有心理困扰风险的学生的心理健康的影响。方法:一项准实验研究涉及65名参与者,他们表现出高度的心理困扰,但没有正式的心理障碍诊断。参与者被随机分配到使用GymBuddy和Elomia提供结构化心理健康支持的干预组或对照组。使用标准化基线、中点和终点测量评估焦虑、抑郁和压力水平等心理健康结果。数据分析采用混合方差分析。结果:混合方差分析显示,所有测量的心理健康结果都有显著改善,包括躯体症状、焦虑和失眠、社交功能障碍和严重抑郁。所有变量均观察到时间和组成员的显著主要影响,表明组间总体症状减轻和基线差异。此外,躯体症状的显著相互作用效应(F(2,70) = 59.96, p)。结论:我们的研究结果表明,像GymBuddy和Elomia这样的人工智能综合干预措施可能是减少学生群体心理困扰的有效工具。将人工智能技术纳入心理健康干预措施可提供个性化支持和指导,解决学生群体的关键需求。有必要进一步研究以探索长期结果并优化这些干预措施在教育环境中的实施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GymBuddy and Elomia, AI-integrated applications, effects on the mental health of the students with psychological disorders.

Background: Digital mental health interventions, including AI-integrated applications, are increasingly utilized to support individuals with elevated symptoms of psychological distress. However, a gap exists in understanding their efficacy specifically for student populations.

Objectives: This study aimed to investigate the effects of GymBuddy, an AI-powered fitness and accountability app, and Elomia, an AI-based mental health chatbot, on the mental health of students at risk for psychological distress.

Methodology: A quasi-experimental study was conducted involving 65 participants who exhibited heightened psychological distress but did not have a formal diagnosis of a psychological disorder. Participants were randomly assigned to either the intervention group, which utilized GymBuddy and Elomia for structured mental health support, or the control group. Mental health outcomes such as anxiety, depression, and stress levels were assessed using standardized baseline, midpoint, and endpoint measures. Data were analyzed using Mixed ANOVA.

Results: The mixed ANOVA analysis revealed significant improvements across all measured mental health outcomes, including somatic symptoms, anxiety and insomnia, social dysfunction, and severe depression. Significant main effects of time and group membership were observed for all variables, indicating overall symptom reduction and baseline differences between groups. Moreover, significant interaction effects for somatic symptoms (F(2, 70) = 59.96, p < 0.0001, η² = 0.63), anxiety and insomnia (F(2, 70) = 32.05, p < 0.0001, η² = 0.48), social dysfunction (F(2, 70) = 59.96, p < 0.0001, η² = 0.63), and severe depression (F(2, 70) = 32.05, p < 0.0001, η² = 0.48) indicated that participants in the intervention group experienced significantly greater reductions in psychological distress compared to the control group.

Conclusions: Our findings suggest that AI-integrated interventions like GymBuddy and Elomia may serve as effective tools for reducing psychological distress in student populations. Integrating AI technology into mental health interventions offers personalized support and guidance, addressing a crucial need in student populations. Further research is warranted to explore long-term outcomes and optimize the implementation of these interventions in educational settings.

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来源期刊
BMC Psychology
BMC Psychology Psychology-Psychology (all)
CiteScore
3.90
自引率
2.80%
发文量
265
审稿时长
24 weeks
期刊介绍: BMC Psychology is an open access, peer-reviewed journal that considers manuscripts on all aspects of psychology, human behavior and the mind, including developmental, clinical, cognitive, experimental, health and social psychology, as well as personality and individual differences. The journal welcomes quantitative and qualitative research methods, including animal studies.
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