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Large language model–driven chatbot interventions to improve mental health in older adults

Large language model–driven chatbot interventions to improve mental health in older adults

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2600121851
Enrollment
Unknown
Registered
2026-04-03
Start date
2026-04-03
Completion date
Unknown
Last updated
2026-04-14

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

Conditions

Mental health in later life

Interventions

Young-Self Reminiscence Group:Participants engage in voice-based conversations with a "virtual younger-self agent" developed on the basis of a large language model. During the interaction, they are gu
Other Reminiscence Group:Participants engage in voice-based conversations with an "interviewer agent" developed on the basis of a large language model. Under its guidance, they are encouraged to remin
Waitlist Control Group:Participants do not receive any chatbot intervention during the 8-week study period and only complete the pre-test, mid-test, and post-test assessments. After the intervention p

Sponsors

Southwest University Faculty of Psychology
Lead Sponsor

Eligibility

Sex/Gender
All
Age
55 Years to 80 Years

Inclusion criteria

Inclusion criteria: (1) Age: 55–80 years (2) No cognitive impairment (TICS-40 score > 20) (3) Self-reported loneliness (DJGLS-11 score > 2) (4) Ability to use a smartphone

Exclusion criteria

Exclusion criteria: (1) A diagnosis of severe mental illness (2) Significant hearing or speech impairment

Design outcomes

Primary

MeasureTime frame
Mental health;—

Secondary

MeasureTime frame
Social network;Sleep;—

Countries

China

Contacts

Public ContactJing Yu

Southwest University Faculty of Psychology

helen12@swu.edu.cn+86 136 1832 3832

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Apr 17, 2026