在心理治疗中调查心理治疗师对人工智能的态度
Julian Wagner1, Anna-Sophia Schwind2
1Department of Psychology, University of Trier, Trier, 54296, Germany.
BMC psychology
|July 2, 2025
概括
心理治疗师表现出对人工智能 (AI) 和机器学习 (ML) 的积极态度,当他们意识到其在诊断和治疗规划中的有用性时. 通过教育解决知识差距和恐惧是人工智能在心理健康保健中的关键.
科学领域:
- 心理健康 心理健康
- 心理治疗 心理治疗
- 人工智能的人工智能
背景情况:
- 越来越多的心理健康障碍和治疗师短缺需要人工智能和机器学习 (ML) 等创新解决方案.
- 在诊断,个性化治疗和治疗优化方面,AI/ML显示出前景.
- 了解心理治疗师对AI/ML的态度对于其整合至关重要,但仍未得到充分探索.
研究的目的:
- 在德国调查心理治疗师对AI/ML的态度.
- 确定影响人工智能接受度和感知有用性的因素.
- 探索技术亲和力和人工智能感知之间的关系.
主要方法:
- 德国181名执照心理治疗师的横截面调查.
- 评估对AI / ML的态度,技术亲和力和感知到的实用性.
- 层次回归分析确定了人工智能接受的预测因素.
主要成果:
- 在诊断和个性化治疗计划中感知到的有用性显著预测了积极的AI/ML态度.
- 共感支持是跨组的重要预测因素,尽管对增强的评级较低.
- 技术上亲和的治疗师专注于诊断中的AI益处;非亲和的治疗师强调了同情的支持和复发预测.
结论:
- 负面态度源于对专业替代的恐惧和有限的AI/ML理解.
- 很大一部分治疗师 (40%) 缺乏技术倾向,这表明潜在的知识差距.
- 教育和强调人类品质对于解决恐惧和促进AI/ML在心理治疗中的采用至关重要.
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