Study of a PST-Trained Voice-Enabled Artificial Intelligence Counselor (SPEAC) for Adults with Emotional Distress
针对患有情绪困扰的成年人的经过 PST 培训的语音人工智能咨询师 (SPEAC) 的研究
基本信息
- 批准号:10611145
- 负责人:
- 金额:$ 108.87万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-07-03 至 2025-06-30
- 项目状态:未结题
- 来源:
- 关键词:AddressAdultAffectAmygdaloid structureAnxietyAreaArtificial IntelligenceAttitudeBrainClinicalCognitionCognitiveComputer softwareDevelopmentDevicesDorsalDoseEmotionalEmotionsEngineeringEnrollmentEvaluationFaceFocus GroupsFunctional Magnetic Resonance ImagingFunctional disorderFutureGeneralized Anxiety DisorderHealthHealth PromotionHealth ResourcesHumanImage AnalysisIntelligenceLateralLengthMachine LearningMeasurementMeasuresMediatingMental DepressionMental HealthMental Health ServicesMoodsNamesNeurosciencesOutcomeParticipantPatient Outcomes AssessmentsPatient Self-ReportPatientsPersonal SatisfactionPersonsPhasePrefrontal CortexProblem SolvingProceduresProcess MeasureProductivityProfessional counselorProtocols documentationPsychotherapyPublic HealthQuality of lifeQuestionnairesRandomizedRandomized Clinical TrialsResearchSecureSpecific qualifier valueStressSurveysSymptomsTechniquesTestingTherapeuticTimeTrainingTranslatingTreatment EfficacyUnited States National Institutes of HealthVoiceVoice TrainingWaiting Listsactive controlactive methodanxiety symptomsarmbasebehavioral health interventionclinical decision supportcognitive controlconnected carecopingcostdepressive symptomsdigital medicinedisabilityefficacy testingemotional distressexperiencefollow up assessmentformative assessmentimprovedinnovationinsightintelligent agentiterative designknowledge basemeetingsneural circuitneuromechanismnew technologynovelpilot testproblem solving therapyprototyperecruitrelating to nervous systemsocial stigmatargeted treatmenttheoriestreatment armtreatment optimizationusabilityuser centered designvirtualvirtual health
项目摘要
PROJECT SUMMARY
BACKGROUND: Depression and anxiety are the leading causes of disability and lost productivity, and are
often underdiagnosed and undertreated owing to access, cost, and stigma barriers. Novel and scalable
psychotherapies are urgently needed. Advances in artificial intelligence (AI) offer a transformative opportunity
to develop intelligent voice assistants as virtual health agents accessible on personal devices. Meanwhile,
major advances in human neuroscience have fueled a paradigm shift to study brain mechanisms underlying
behavioral health interventions. OBJECTIVES: Leveraging our collaborative team’s transdisciplinary expertise
in these emerging areas, we will develop and rigorously test a novel voice-enabled, AI virtual agent named
Lumen, trained on Problem Solving Therapy (PST), for patients with moderate, untreated depressive and/or
anxiety symptoms. We will investigate the effect of Lumen on engagement of a priori neural targets—amygdala
for emotional reactivity and dorsal lateral prefrontal cortex (DLPFC) for cognitive control—as putative
mechanisms. DESIGN/ METHODS: The project has 2 phases. In the R61 phase (years 1-2), we will further
develop Lumen building on the current prototype and conduct iterative user-centered design evaluations that
include focus groups, scenario-based clinician evaluations, and a formative user study with 20 participants. We
will pilot test Lumen in a 2-arm randomized clinical trial (RCT, Study 1), with 60 participants with depression
and/or anxiety randomized in a 2:1 ratio to receive PST with Lumen (n=40) on a secure study iPad or be on a
waitlist (n=20). At weeks 0 and 14, participants will complete functional magnetic resonance imaging (fMRI) to
assess neural target engagement as well as validated surveys of patient-reported outcomes (e.g., depressive
and anxiety symptoms, functioning, quality of life). In addition, they will complete naturalistic end-of-day
assessments of mood, stress, appraisal and coping for 7 days every 2 weeks. If the Go milestone criteria are
met, the R33 phase (years 3-5) will include a 3-arm RCT (Study 2) with 200 new participants randomized in a
2:1:1 ratio to 1 of 3 arms: Lumen (n=100), waitlist control (n=50), and in-person PST as active control (n=50).
Participants will complete baseline and follow-up assessments using a refined measurement protocol based on
Study 1. SPECIFIC AIMS: R61 aims are to (1) establish the functionality, usability, and treatment fidelity of
Lumen; and (2) demonstrate feasibility, acceptability, and neural target engagement according to pre-specified
Go milestone criteria. R33 aims are to (1) confirm neural target engagement by a superiority test (primary)
comparing the Lumen and waitlist control arms and a noninferiority test (secondary) comparing the Lumen and
in-person PST arms; and (2) examine the relationships of target engagement to outcomes. The results will
provide the basis for future confirmatory efficacy testing of Lumen. IMPACT: This project’s public health impact
lies in that a mechanistically tested, PST-trained AI agent could bring proven psychotherapy to people with
depression/anxiety who do not seek professional help or who desire more personalized, connected care.
项目总结
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Olusola A. Ajilore其他文献
When ChatGPT Met RDoC: Leveraging Artificial Intelligence to Bridge the Gap Between Data and Prognosis
当ChatGPT遇上研究领域标准(RDoC):利用人工智能弥合数据与预后之间的差距
- DOI:
10.1016/j.biopsych.2024.09.020 - 发表时间:
2024-12-15 - 期刊:
- 影响因子:9.000
- 作者:
Olusola A. Ajilore - 通讯作者:
Olusola A. Ajilore
Altered Effective Connectivity During Threat Anticipation in Individuals With Alcohol Use Disorder
酒精使用障碍患者在威胁预期期间的有效连接改变
- DOI:
10.1016/j.bpsc.2024.07.023 - 发表时间:
2025-02-01 - 期刊:
- 影响因子:4.800
- 作者:
Milena Radoman;K. Luan Phan;Olusola A. Ajilore;Stephanie M. Gorka - 通讯作者:
Stephanie M. Gorka
Olusola A. Ajilore的其他文献
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{{ truncateString('Olusola A. Ajilore', 18)}}的其他基金
Unobtrusive Monitoring of Affective Symptoms and Cognition using Keyboard Dynamics
使用键盘动力学对情感症状和认知进行不引人注目的监测
- 批准号:
10406131 - 财政年份:2020
- 资助金额:
$ 108.87万 - 项目类别:
Unobtrusive Monitoring of Affective Symptoms and Cognition using Keyboard Dynamics
使用键盘动力学对情感症状和认知进行不引人注目的监测
- 批准号:
10542659 - 财政年份:2020
- 资助金额:
$ 108.87万 - 项目类别:
3/3-Recurrence markers, cognitive burden and neurobiological homeostasis in late-life depression
3/3-晚年抑郁症的复发标记、认知负担和神经生物学稳态
- 批准号:
10532208 - 财政年份:2020
- 资助金额:
$ 108.87万 - 项目类别:
Study of a PST-Trained Voice-Enabled Artificial Intelligence Counselor (SPEAC) for Adults with Emotional Distress
针对患有情绪困扰的成年人的经过 PST 培训的语音人工智能咨询师 (SPEAC) 的研究
- 批准号:
10671735 - 财政年份:2020
- 资助金额:
$ 108.87万 - 项目类别:
Unobtrusive Monitoring of Affective Symptoms and Cognition using Keyboard Dynamics
使用键盘动力学对情感症状和认知进行不引人注目的监测
- 批准号:
10320061 - 财政年份:2020
- 资助金额:
$ 108.87万 - 项目类别:
Unobtrusive Monitoring of Affective Symptoms and Cognition using Keyboard Dynamics
使用键盘动力学对情感症状和认知进行不引人注目的监测
- 批准号:
10115131 - 财政年份:2020
- 资助金额:
$ 108.87万 - 项目类别:
Unobtrusive Monitoring of Affective Symptoms and Cognition using Keyboard Dynamics
使用键盘动力学对情感症状和认知进行不引人注目的监测
- 批准号:
9912649 - 财政年份:2020
- 资助金额:
$ 108.87万 - 项目类别:
Study of a PST-Trained Voice-Enabled Artificial Intelligence Counselor (SPEAC) for Adults with Emotional Distress
针对患有情绪困扰的成年人的经过 PST 培训的语音人工智能咨询师 (SPEAC) 的研究
- 批准号:
10031359 - 财政年份:2020
- 资助金额:
$ 108.87万 - 项目类别:
3/3-Recurrence markers, cognitive burden and neurobiological homeostasis in late-life depression
3/3-晚年抑郁症的复发标记、认知负担和神经生物学稳态
- 批准号:
10078636 - 财政年份:2020
- 资助金额:
$ 108.87万 - 项目类别:
3/3-Recurrence markers, cognitive burden and neurobiological homeostasis in late-life depression
3/3-晚年抑郁症的复发标记、认知负担和神经生物学稳态
- 批准号:
10304162 - 财政年份:2020
- 资助金额:
$ 108.87万 - 项目类别:
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