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

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

JPRN

Registry ID

JPRN-UMIN000059492

Enrollment

Registered

2025-10-21

Start date

2025-10-23

Completion date

Unknown

Last updated

2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Healthy adults

Interventions

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 e

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 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.

Exclusion criteria

Exclusion criteria: 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

Design outcomes

Primary

Measure	Time frame
Quality of Sleep	—

Countries

Japan

Contacts

Public ContactMomose Kimio

Sophia University Graduate Degree Program of Applied Data Sciences

k-momose-1ie@sophia.ac.jp03-3238-3111

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026