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Chatbot Intervention Effects on Social and Monetary Incentive Processing in Anhedonia

2026년 7월 7일 업데이트: Benjamin Becker, University of Electronic Science and Technology of China

Effects of a Chatbot-Based Intervention on Behavioral Responsiveness and Neural Anticipation of Social and Monetary Incentives in Individuals With Anhedonia

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.

연구 개요

상세 설명

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.

연구 유형

중재적

등록 (추정된)

80

단계

  • 해당 없음

연락처 및 위치

이 섹션에서는 연구를 수행하는 사람들의 연락처 정보와 이 연구가 수행되는 장소에 대한 정보를 제공합니다.

연구 연락처

  • 이름: Benjamin Becker, Dr
  • 전화번호: (852) 3917-5097
  • 이메일: bbecker@hku.hk

연구 장소

    • Sichuan
      • Chengdu, Sichuan, 중국
        • 모병
        • University of Electronic Science and Technology of China

참여기준

연구원은 적격성 기준이라는 특정 설명에 맞는 사람을 찾습니다. 이러한 기준의 몇 가지 예는 개인의 일반적인 건강 상태 또는 이전 치료입니다.

자격 기준

공부할 수 있는 나이

  • 성인

건강한 자원 봉사자를 받아들입니다

예

설명

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:

  • 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.

공부 계획

이 섹션에서는 연구 설계 방법과 연구가 측정하는 내용을 포함하여 연구 계획에 대한 세부 정보를 제공합니다.

연구는 어떻게 설계됩니까?

디자인 세부사항

  • 주 목적: 기초 과학
  • 할당: 무작위
  • 중재 모델: 병렬 할당
  • 마스킹: 더블

무기와 개입

참가자 그룹 / 팔
개입 / 치료
실험적: Motivational Interviewing-based AI chatbot group
Motivational Interviewing-based AI chatbot intervention
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.
활성 비교기: Active control chatbot group
Active control nature-story chatbot intervention
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.

연구는 무엇을 측정합니까?

주요 결과 측정

결과 측정
측정값 설명
기간
Neural Activity During Social Incentive Anticipation
기간: Baseline before the first chatbot interaction and Week 1 after completion of the chatbot intervention.
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.
Baseline before the first chatbot interaction and Week 1 after completion of the chatbot intervention.
Neural Activity During Monetary Incentive Anticipation
기간: Baseline before the first chatbot interaction and Week 1 after completion of the chatbot intervention.
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.
Baseline before the first chatbot interaction and Week 1 after completion of the chatbot intervention.

2차 결과 측정

결과 측정
측정값 설명
기간
Behavioral Responsiveness to Social Incentive Cues
기간: Baseline before the first chatbot interaction and Week 1 after completion of the chatbot intervention.
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.
Baseline before the first chatbot interaction and Week 1 after completion of the chatbot intervention.
Behavioral responsiveness to monetary incentives
기간: Baseline before the first chatbot interaction and Week 1 after completion of the chatbot intervention.
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.
Baseline before the first chatbot interaction and Week 1 after completion of the chatbot intervention.

공동 작업자 및 조사자

여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.

연구 기록 날짜

이 날짜는 ClinicalTrials.gov에 대한 연구 기록 및 요약 결과 제출의 진행 상황을 추적합니다. 연구 기록 및 보고된 결과는 공개 웹사이트에 게시되기 전에 특정 품질 관리 기준을 충족하는지 확인하기 위해 국립 의학 도서관(NLM)에서 검토합니다.

연구 주요 날짜

연구 시작 (추정된)

2026년 6월 20일

기본 완료 (추정된)

2028년 6월 30일

연구 완료 (추정된)

2028년 12월 31일

연구 등록 날짜

최초 제출

2026년 6월 17일

QC 기준을 충족하는 최초 제출

2026년 6월 22일

처음 게시됨 (실제)

2026년 6월 24일

연구 기록 업데이트

마지막 업데이트 게시됨 (실제)

2026년 7월 9일

QC 기준을 충족하는 마지막 업데이트 제출

2026년 7월 7일

마지막으로 확인됨

2026년 6월 1일

추가 정보

이 연구와 관련된 용어

키워드

기타 연구 ID 번호

  • BAM_lab_MI_03

개별 참가자 데이터(IPD) 계획

개별 참가자 데이터(IPD)를 공유할 계획입니까?

아니요

IPD 계획 설명

Corresponding individual level data will be made available upon request.

약물 및 장치 정보, 연구 문서

미국 FDA 규제 의약품 연구

아니

미국 FDA 규제 기기 제품 연구

아니

이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .

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