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RecruitingNCT07665242Updated Jul 9, 2026

Chatbot Intervention Effects on Social and Monetary Incentive Processing in Anhedonia

An interventional study of MI Chatbot Interaction and Active Control Chatbot Interaction in Healthy, sponsored by University of Electronic Science and Technology of China. Recruiting at 1 site in China. Open to participants aged 18 Years to 40 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-07-09.

Sponsored by University of Electronic Science and Technology of China · Not applicable, Interventional, and Basic science

Phase
Not applicable
Study type
Interventional
Enrollment
80
Allocation
Randomized
Ages
18 Years to 40 Years
Sex
All
01

Study summary

The main aim of the present study is to investigate the effects of a Motivational Interviewing-based artificial intelligence chatbot on social incentive processing in college students with elevated levels of depression and anhedonia by combining a randomized active-control intervention design with pre- and post-intervention Social Incentive Delay Task assessments during fMRI.

Read the detailed description

Anhedonia represents a core characteristic of depression and is characterized by reduced experience of pleasure. It is closely related to decreased motivation, altered reward processing, changes in affective responsiveness, and alterations in intrinsic brain network function. Anhedonia is not specifically targeted by currently available pharmacological interventions. Initial evidence indicates that an increased willingness to change and implementation of change in daily life can alleviate anhedonia.

The present study aims to examine whether a Motivational Interviewing-based AI chatbot can lead to changes in social incentive processing in college students with elevated anhedonia and depressive symptoms. Social incentive processing is included because social approval, social feedback, and interpersonal reward are important sources of motivation in daily life and may be altered in individuals with elevated anhedonia. The Social Incentive Delay Task allows the study to examine behavioral and neural responses during the anticipation and receipt of social incentives. To this end, eligible participants with a total score of 22 or higher on the Snaith-Hamilton Pleasure Scale and a score of 14 or higher on the Beck Depression Inventory will undergo a randomized, between-subjects, active-control intervention study. Participants will be assigned to either a Motivational Interviewing-based chatbot group or an active control chatbot group for 1 week. Pre- and post-intervention assessments will include self-report questionnaires and the Social Incentive Delay Task during functional magnetic resonance imaging to examine psychological, behavioral, and neural effects of the intervention.

02

Conditions studied

  • Healthy

Keywords

  • fMRI
  • AI Interaction
03

Who can participate

Ages eligible
18 Years to 40 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Inclusion criteria

  • 18-40 years
  • Right-handed
  • Normal or corrected normal visual acuity
  • Participants must show elevated anhedonia and depressive symptoms at screening, defined as a total score of 22 or higher on the Snaith-Hamilton Pleasure Scale and a score of 14 or higher on the Beck Depression Inventory

Exclusion criteria

Exclusion Criteria:

  • History of major central nervous system disorders, such as epilepsy, traumatic brain injury, stroke, or brain tumors.
  • History of severe mental illness, including schizophrenia spectrum disorders, bipolar disorder, or other psychotic disorders.
  • History of substance or alcohol use disorder or substance or alcohol misuse within the past 12 months that may affect study participation or outcome assessment.
  • Individuals currently at high risk of suicide, severe self-harm, or experiencing an acute psychiatric crisis.
  • Individuals who are currently using psychiatric medications or have undergone psychotherapy within the past 4 weeks that may significantly affect mood, motivation, or reward processing.
  • Severe vision or hearing impairments that cannot be corrected and would interfere with task performance.
  • Contraindications to MRI scanning, including metallic implants, pacemakers, severe claustrophobia, or other conditions incompatible with MRI.
  • Pregnancy or breastfeeding.
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Study design

Phase
Not applicable
Primary purpose
Basic science
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Double (Participant, Investigator)
Enrollment
80 participants (estimated)

Study arms

  • Experimental
    Motivational Interviewing-based AI chatbot group

    Motivational Interviewing-based AI chatbot intervention

    Behavioral: MI Chatbot Interaction

  • Active comparator
    Active control chatbot group

    Active control nature-story chatbot intervention

    Behavioral: Active Control Chatbot Interaction

Interventions

  • BehavioralMI Chatbot Interaction

    The experimental chatbot is designed to use principles of Motivational Interviewing to support participants in exploring their personal values, motivation for change, and daily behavioral goals related to pleasure, engagement, and reward-seeking. During the intervention period, participants will interact with the chatbot regularly through brief text-based conversations. The chatbot will provide empathic, non-judgmental responses, encourage reflection on current difficulties, and help participants identify small, feasible actions that may increase daily engagement and positive experiences. It will not provide diagnosis, crisis counseling, or medical treatment.

  • BehavioralActive Control Chatbot Interaction

    Participants will interact with a chatbot matched in format and frequency of use. This chatbot will provide neutral nature-related stories or general natural history content. It will be designed to maintain participant engagement while avoiding therapeutic techniques, motivational interviewing strategies, behavioral activation guidance, or personalized mental health advice. This active control condition will help control for nonspecific effects of chatbot interaction, attention, expectancy, and digital engagement.

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What researchers measure

Primary outcomes

  1. Neural Activity During Social Incentive Anticipation

    Participants will undergo task-based BOLD fMRI while completing the Social Incentive Delay Task. Neural responses during the anticipation of social incentive cues will be compared with responses to neutral cues using a general linear model. Pre-to-post intervention changes will be evaluated from the resulting beta contrast estimates.

    Time frame: Baseline before the first chatbot interaction and Week 1 after completion of the chatbot intervention.

  2. Neural Activity During Monetary Incentive Anticipation

    Task-based BOLD fMRI data will be acquired while participants perform the Monetary Incentive Delay Task. Neural responses associated with the anticipation of monetary reward and punishment will be estimated using a general linear model. Beta contrast estimates will be calculated for monetary reward versus neutral and monetary punishment versus neutral conditions. These estimates will be used to assess changes between baseline and post-intervention.

    Time frame: Baseline before the first chatbot interaction and Week 1 after completion of the chatbot intervention.

Secondary outcomes

  1. Behavioral Responsiveness to Social Incentive Cues

    Reaction time, accuracy, and hit rate will be calculated separately for social incentive cue conditions and neutral cue conditions in the Social Incentive Delay Task before and after the intervention. Behavioral differences between social incentive and neutral cue conditions will also be derived and compared from baseline to post-intervention.

    Time frame: Baseline before the first chatbot interaction and Week 1 after completion of the chatbot intervention.

  2. Behavioral responsiveness to monetary incentives

    The Monetary Incentive Delay Task will be administered before and after the intervention. Reaction time, accuracy, and hit rate will be extracted separately for monetary incentive cue conditions and neutral cue conditions, and changes in behavioral differences between monetary incentive and neutral cue conditions will be calculated.

    Time frame: Baseline before the first chatbot interaction and Week 1 after completion of the chatbot intervention.

06

Study locations

1 of 1 sites recruiting
  • University of Electronic Science and Technology of China
    Chengdu, Sichuan, China
    Recruiting
07

References and documents

Individual participant data

Plan to share: No — Corresponding individual level data will be made available upon request.

No publications or documents are linked to this record.

08

Registry details

Key details

Study ID
NCT07665242
Lead sponsor
University of Electronic Science and Technology of China
Responsible party
Benjamin Becker (Professor, University of Electronic Science and Technology of China) — Principal investigator
First posted
Jun 24, 2026
Start date
Jun 20, 2026 (estimated)
Primary completion
Jun 30, 2028 (estimated)
Completion
Dec 31, 2028 (estimated)
Last update
Jul 9, 2026

Study contacts

Benjamin Becker, Dr
Contact
bbecker@hku.hk
(852) 3917-5097

Oversight

FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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