Ad-dice公司與廣島縣北廣島町及廣島大學合作，公布了「心理健康DX」實證實驗的最終成果。這項為期約三個月的研究表明，透過醫療保健AI（ResQ AI）將客觀數據視覺化，能促進參與者自主的行為改變，從而可能改善其心理風險。該實驗成功偵測到年度壓力檢測可能忽略的心理疲勞早期跡象，並證實收到週報的參與者透過增加每日步數或睡眠時間，改善了他們的心理健康分數。此方法為輔助傳統心理健康檢查及促進福祉，提供了一個有前景的途徑。
FACT BOX · 重點整理
- 來源：PR TIMES
- 分類：Project Report
常見問題
What was the purpose of this experiment?
The experiment aimed to verify if AI could detect early signs of mental distress, if weekly reports could encourage autonomous behavioral changes to improve stress resilience, and to objectively monitor lifestyle patterns like sleep.
Who participated in the experiment?
A total of 34 people participated, including employees from the Kitahiroshima Town Office, Hiroshima Eagle Co., Ltd., and the JMS Chiyoda Factory.
What were the key findings of the experiment?
The AI successfully detected signs of mental fatigue that annual stress checks might miss. Furthermore, participants who received weekly reports with their data made positive behavioral changes, such as increasing walking distance or sleep time, which led to significant improvements in their mental health scores.
How did the AI technology work?
The system used smartwatches (ResQ Band / FitBit) to continuously collect vital data, which was then analyzed by the healthcare AI 'ResQ AI'. The AI generated mental health scores and personalized advice, which were delivered to participants in weekly reports.
What challenges were identified for wider implementation?
For public implementation, challenges include potential resistance to sharing mental health information, the cost of introduction, and the need for ethical considerations regarding data usage.