| Unique ID issued by UMIN | UMIN000059492 |
|---|---|
| Receipt number | R000068047 |
| Scientific Title | Analysis of the Impact of Generative AI Feedback on Sleep Quality through Journaling |
| Date of disclosure of the study information | 2025/10/21 |
| Last modified on | 2025/10/23 06:01:33 |
Analysis of the impact of generative AI feedback on sleep quality through journaling
Analysis of the Impact of Generative AI Feedback on Sleep Quality through Journaling
Analysis of the Impact of Generative AI Feedback on Sleep Quality through Journaling
Analysis of the Impact of Generative AI Feedback on Sleep Quality through Journaling
| Japan |
Healthy adults
| Adult |
Others
NO
Investigating whether reflective feedback generated by a generative AI on bedtime journaling improves subjective and objective sleep quality.
Others
To examine how reflective feedback generated by a generative AI on a bedtime journal affects sleep quality.
Exploratory
Explanatory
Not applicable
Quality of Sleep
Interventional
Parallel
Randomized
Individual
Open -no one is blinded
No treatment
YES
NO
Institution is not considered as adjustment factor.
YES
Central registration
2
Educational,Counseling,Training
| Other |
The intervention period consists of seven consecutive nights from the start of the intervention.
For seven consecutive days, participants write a journal in diary format before bedtime.
After each entry, the generative AI immediately provides listening-oriented feedback (e.g., summaries, emotion labeling, empathic responses).
For seven consecutive days, participants write a journal in diary format before bedtime.
| 18 | years-old | <= |
| 60 | years-old | > |
Male and Female
Healthy adults under 60 years of age who understand the purpose of the study and that they may withdraw from participation at any time without disadvantage.
Individuals aged 17 years or younger, or 60 years or older
Individuals diagnosed with a mental disorder by a physician
Individuals regularly taking prescription medications such as sleeping pills
Cases in which the researcher judges that participation may adversely affect the participant's physical or mental condition
80
| 1st name | Momose |
| Middle name | |
| Last name | Kimio |
Sophia University
Graduate Degree Program of Applied Data Sciences
102-8554
7-1 Kioicho, Chiyoda-ku, Tokyo
03-3238-3111
k-momose-1ie@sophia.ac.jp
| 1st name | Momose |
| Middle name | |
| Last name | Kimio |
Sophia University
Graduate Degree Program of Applied Data Sciences
102-8554
7-1 Kioicho, Chiyoda-ku, Tokyo
03-3238-3111
k-momose-1ie@sophia.ac.jp
Sophia University
Momose Kimio
Self funding
Self funding
N/A
N/A
N/A
N/A
NO
| 2025 | Year | 10 | Month | 21 | Day |
Unpublished
Open public recruiting
| 2025 | Year | 09 | Month | 30 | Day |
| 2025 | Year | 10 | Month | 07 | Day |
| 2025 | Year | 10 | Month | 23 | Day |
| 2025 | Year | 11 | Month | 30 | Day |
| 2025 | Year | 10 | Month | 21 | Day |
| 2025 | Year | 10 | Month | 23 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000068047