Effectiveness of AI Chatbots in Improving Students' General Wellbeing
Evaluating the Effectiveness of AI Chatbots in Improving Students' General Wellbeing
1 other identifier
interventional
172
0 countries
N/A
Brief Summary
The goal of this randomised controlled trial is to evaluate the effectiveness of an AI mental health chatbot in promoting emotional wellbeing and perceived empathy among university students in Singapore with mild or subclinical symptoms of anxiety and depression. The main questions it aims to answer are: Can the chatbot provide emotional validation and be perceived as empathic? Does the chatbot reduce symptoms of anxiety and depression and improve wellbeing more than an inactive control condition? Researchers will compare students who engage in four sessions with the chatbot to students who complete four neutral writing tasks to assess differences in emotional wellbeing, empathy, and resilience. Participants will: Complete baseline wellbeing assessments Be randomised to: Four 20-minute chatbot sessions providing personalised support using cognitive-behavioural and compassion-focused techniques (intervention group), or Four 20-minute neutral writing sessions unrelated to mental health (control group) Complete post-session and follow-up wellbeing questionnaires All sessions are conducted virtually over Zoom. Participants are full-time students at the National University of Singapore, aged 21 and above. The study aims to inform future development of AI tools for emotional support in non-clinical settings.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Aug 2025
Shorter than P25 for not_applicable
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
April 23, 2025
CompletedFirst Posted
Study publicly available on registry
May 11, 2025
CompletedStudy Start
First participant enrolled
August 1, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 31, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
October 31, 2025
CompletedMay 11, 2025
April 1, 2025
3 months
April 23, 2025
May 1, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (4)
Perceived empathy (Robot's Perceived Empathy Scale - RoPE)
Assesses participants' perception of the AI chatbot's empathy (cognitive and affective components), using the validated Robot's Perceived Empathy (RoPE) scale. The RoPE consists of 20 items rated on a 5-point Likert scale (1 = Strongly Disagree to 5 = Strongly Agree). Score range: 20-100. Higher scores indicate: Greater perceived empathy.
Immediately after Session 1 and Session 4 (baseline and post-intervention for chatbot group only).
Change in emotional wellbeing (WHO-5 Wellbeing Index)
Assesses overall emotional wellbeing and life satisfaction using the WHO-5 Wellbeing Index, a 5-item self-report scale. Each item is rated on a 6-point Likert scale (0 = At no time to 5 = All of the time). Score range: 0-25. Higher scores indicate: Greater wellbeing.
Day 1 (Baseline), Week 4 (End of Session 4), and Week 8 (1-month follow-up after last session).
Change in anxiety symptoms (Generalised Anxiety Disorder 7-item - GAD-7)
Assesses anxiety symptoms using the GAD-7, a 7-item self-report scale. Each item is scored from 0 ("Not at all") to 3 ("Nearly every day"). Score range: 0-21. Higher scores indicate: Greater severity of anxiety symptoms.
Day 1 (Baseline), Week 4 (End of Session 4), and Week 8 (1-month follow-up after last session).
Change in depressive symptoms (Patient Health Questionnaire-9 - PHQ-9)
Assesses depressive symptoms using the PHQ-9, a 9-item self-report scale. Each item is scored from 0 ("Not at all") to 3 ("Nearly every day"). Score range: 0-27. Higher scores indicate: Greater severity of depressive symptoms.
Day 1 (Baseline), Week 4 (End of Session 4), and Week 8 (1-month follow-up after last session).
Secondary Outcomes (1)
Change in resilience (Brief Resilience Scale - BRS)
Day 1 (Baseline) , Week 2 (Post-Session 2), Week 4 (Post-Session 4) , Week 8 (1-month follow-up after last session)
Study Arms (2)
AI-delivered emotional wellbeing support
EXPERIMENTALParticipants in this arm will complete four sessions with an AI-powered mental health chatbot over four weeks. Each session will last approximately 20 minutes and take place via Zoom. The chatbot provides structured emotional support informed by CBT principles, including identifying unhelpful thinking patterns and coping behaviours, delivering thought restructuring and compassion-focused techniques, and assigning weekly reflection-based homework. The intervention is designed to promote emotional wellbeing and alleviate mild anxiety and depressive symptoms.
Inactive control (neutral writing tasks)
PLACEBO COMPARATORParticipants in this arm will complete four 20-minute sessions over four weeks involving neutral writing tasks unrelated to mental health. Writing prompts cover non-emotive topics (e.g., daily routines, neutral observations) and do not include emotional support, feedback, or guidance. This arm serves as an inactive control condition to isolate the effect of the chatbot intervention on emotional wellbeing and perceived empathy.
Interventions
Participants in this arm will complete four 20-minute sessions with an AI-powered chatbot designed to deliver CBT-based emotional wellbeing support. The chatbot provides conversational guidance using techniques such as cognitive restructuring, behavioural activation, and emotion validation. Sessions are delivered via Zoom, and participants receive structured homework after each session to reinforce learning. The chatbot was not custom-built for this study but is an existing tool provided to NUS students as part of their digital mental health benefits.
Participants in this arm will complete four 20-minute sessions of neutral writing tasks unrelated to mental health. Prompts include writing factually about daily routines or describing an object in detail. The content is emotionally neutral to act as a comparison for the chatbot intervention. Sessions are conducted online via Zoom.
Eligibility Criteria
You may qualify if:
- Current undergraduate student at the National University of Singapore (NUS)
- Aged 21 years and above
- Proficient in English
- Not currently undergoing psychological treatment or taking psychiatric medication
- No history of self-harm or suicide
- Scores below 10 on both the GAD-7 and PHQ-9 (i.e., subclinical levels of anxiety and depression)
You may not qualify if:
- Currently undergoing psychological treatment or counselling
- Currently taking psychiatric medication
- History of self-harm or suicidal ideation
- Scores ≥10 on the GAD-7 and/or PHQ-9, indicating moderate to severe anxiety or depression
- Inability to provide informed consent or comply with study procedures
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Masking Details
- Participants are partially masked to the study's purpose. They are not informed of the specific aim to evaluate the chatbot's impact on mental health outcomes, nor are they aware of the control versus intervention group distinctions. This partial masking helps reduce demand characteristics and expectancy effects. No other parties are blinded.
- Purpose
- PREVENTION
- Intervention Model
- FACTORIAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Ph.D.
Study Record Dates
First Submitted
April 23, 2025
First Posted
May 11, 2025
Study Start
August 1, 2025
Primary Completion
October 31, 2025
Study Completion
October 31, 2025
Last Updated
May 11, 2025
Record last verified: 2025-04
Data Sharing
- IPD Sharing
- Will not share
This study involves personal mental health disclosures, even if anonymised. Sharing individual participant data (IPD), even coded, increases the risk of re-identification and may breach the trust established during consent.