用人类与AI协作提升重症康复者艺术治疗的个性化效果
The AI-Therapist Duo: Exploring the Potential of Human-AI Collaboration in Personalized Art Therapy for PICS Intervention
- 通过人机协同设计个性化艺术推荐系统
- 150人研究显示治疗效果和效率双提升
- 适合心理干预、焦虑抑郁等情绪支持场景
重症监护后综合征（PICS）是长期住ICU患者常见的多维度健康问题。尽管预防PICS日益重要，现有干预手段仍有限。基于艺术暴露对PICS心理症状的有效性，我们提出一种人机协同的艺术治疗新方案，利用先进的视觉艺术推荐系统实现个性化干预。开发了两种人机协同（HITL）个性化方法，并通过大规模用户研究（N=150）评估其影响。结果表明，该人机协作不仅提升了艺术治疗的个性化水平与疗效，还减轻了治疗师的工作负担。虽然本研究聚焦于PICS干预，但结果提示此类人机协同艺术疗法在焦虑、抑郁等需情感支持的领域也具潜在应用价值。
原文摘要 · Abstract (English)
Post-intensive care syndrome (PICS) is a multifaceted condition that arises from prolonged stays in an intensive care unit (ICU). While preventing PICS among ICU patients is becoming increasingly important, interventions remain limited. Building on evidence supporting the effectiveness of art exposure in addressing the psychological aspects of PICS, we propose a novel art therapy solution through a collaborative Human-AI approach that enhances personalized therapeutic interventions using state-of-the-art Visual Art Recommendation Systems. We developed two Human-in-the-Loop (HITL) personalization methods and assessed their impact through a large-scale user study (N=150). Our findings demonstrate that this Human-AI collaboration not only enhances the personalization and effectiveness of art therapy but also supports therapists by streamlining their workload. While our study centres on PICS intervention, the results suggest that human-AI collaborative Art therapy could potentially benefit other areas where emotional support is critical, such as cases of anxiety and depression.
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