用AI从过往记忆中生成未来行动建议，改善心理健康
Resonance: Drawing from Memories to Imagine Positive Futures through AI-Augmented Journaling
- 基于用户回忆生成个性化、可行动的未来活动建议
- 两周实验显示抑郁评分下降，积极情绪显著提升
- 建议越个人化、新颖且关联记忆，效果越好
人类天生会借助过去经历来想象未来，这一能力对心理健康至关重要。Resonance 是一款AI增强型日记工具，通过分析用户记录的过往记忆，生成面向未来的、可执行的行动建议。当用户新增一条记忆时，系统即提供建议，并引导其想象执行该建议的情景。在一项为期两周的随机对照研究（N=55）中，使用 Resonance 显著改善了心理健康状况，表现为 PHQ-8 抑郁量表得分下降，日常积极情绪上升，尤其在用户计划实施建议时效果更明显。值得注意的是，建议若具备个人性、新颖性并关联用户已记录的记忆，则更具有效性。通过开放反馈，我们进一步探讨了影响工具使用的促进与阻碍因素。
原文摘要 · Abstract (English)
People inherently use experiences of their past while imagining their future, a capability that plays a crucial role in mental health. Resonance is an AI-powered journaling tool designed to augment this ability by offering AI-generated, action-oriented suggestions for future activities based on the user's own past memories. Suggestions are offered when a new memory is logged and are followed by a prompt for the user to imagine carrying out the suggestion. In a two-week randomized controlled study (N=55), we found that using Resonance significantly improved mental health outcomes, reducing the users' PHQ8 scores, a measure of current depression, and increasing their daily positive affect, particularly when they would likely act on the suggestion. Notably, the effectiveness of the suggestions was higher when they were personal, novel, and referenced the user's logged memories. Finally, through open-ended feedback, we discuss the factors that encouraged or hindered the use of the tool.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。