Effect of an AI agent trained on a large language model (LLM) as an intervention for depression and anxiety symptoms in young adults: A 28-day randomized controlled trial
Abstract
BACKGROUND
Young adults face emotional problems in their daily lives. Considering that youth are prevalent among mobile internet users, it would be helpful if functions that can intervene in young people's depression and anxiety can be designed based on short video apps. Large language model (LLM)-based AI conversational agents based on short video apps may play an important role in intervening in young adults' negative emotions.
METHODS
This study is a 28-day randomized controlled trial (RCT) in which 865 participants were randomly assigned to an intervention group or a waiting group, and each user was asked to engage in a total of 28 days of dialog intervention with the AI agent and complete three psychological questionnaires.
RESULTS
The dialog intervention significantly reduced depression in the intervention group at two weeks and significantly reduced both depression and anxiety in the intervention group at four weeks.
CONCLUSIONS
This study found evidence that the LLM-based conversational agent could effectively alleviate the mild anxiety and depressive symptoms of young adults with negative emotions through dialog interventions when the AI companion bot is used sufficiently enough.
REGISTRATION
Clinicaltrials.gov NCT06346496, https://clinicaltrials.gov/study/NCT06346496.
How strong is the evidence?
Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design. Reported size: 865 participants or records.
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