A facial expression-based personalization engine (FPE) for monitoring and modulating real-time effective engagement in cognitive training in older adults at risk for AD/ADRD

基于面部表情的个性化引擎 (FPE)，用于监控和调节有 AD/ADRD 风险的老年人实时有效地参与认知训练

• 批准号: 10766409
• 负责人: Ehsan Adeli
• 金额: $ 36.09万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-15 至 2025-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10766409
• 关键词: 3-Dimensional; Address; Adherence; Alzheimer' s Disease; Alzheimer' s disease related dementia; Alzheimer' s disease risk; Anxiety; Attention; Behavioral; Boredom; Cognitive; Data Collection; Detection; Elderly; Enrollment; Ensure; Equilibrium; Face; Facial Expression; Fatigue; Frustration; Future; Goals; Home; Impaired cognition; Infrastructure; Intervention; Learning; Libraries; Measures; Mental Depression; Mental Fatigue; Monitor; Participant; Pattern; Performance; Periodicals; Physiological; Randomized, Controlled Trials; Readiness; Resolution; Sampling; Self Administration; Signal Transduction; Testing; Time; Training; Training Programs; Treatment Efficacy; Work; application programming interface; behavioral impairment; cognitive benefits; cognitive change; cognitive training; computerized; deep neural network; dementia risk; design; efficacy study; follow-up; future implementation; improved; mild cognitive impairment; novel; post intervention; processing speed; recruit; response; satisfaction; sensory input; sustained attention

ABSTRACT How to ensure adherence to computerized cognitive training in unsupervised circumstances (e.g., at-home, self- administered) in older adults at risk for Alzheimer’s disease (AD) or AD related dementia (AD/ADRD) is understudied. The objective of the R61/R33 is to refine and test a novel facial expression-based personalization engine (FPE) for monitoring and modulating real-time effective engagement, with an ultimate goal of enhancing long-term adherence in unsupervised cognitive training in older adults at risk for AD/ADRD. Here, Effective engagement is defined as the extent to which someone is actively engaged and performing with significant attention and enjoyment while training, addressing a balance between adherence and cognitive gains/plasticity from the training. Based on previous work, including ours, we hypothesize that (1) mental fatigue revealed in facial expressions will reflect a trainee’s degree of effective engagement, which can be modified by modulating task novelty; (2) our proposed FPE will ensure the effective engagement in cognitive training by monitoring trainee facial expressions and modulating training in response, promoting the trainee’s long-term adherence to the training and cognitive plasticity. In R61 (Y1-Y2), we will generate the FPE for monitoring and modulating real- time engagement in cognitive trainings in older adults at risk for AD/ADRD by refining our established application programming interface using a Stage I design. In R33 (Y3-Y5), we will conduct a Stage II intervention efficacy study comparing effective engagement and adherence in unsupervised cognitive training between training programs with vs. without FPE in older adults at risk for AD/ADRD. We will address milestones proposed in both stages to (a) ensure the readiness of the proposed FPE for R33 (R61 milestone) and (b) evaluate and further revision of FPE for future implementation test (R33 milestone). Impact: the proposed FPE may assist in monitoring and improving effective engagement and adherence in older adults with unsupervised cognitive training. In the current application, we will test FPE in a cognitive training program called speed of processing training. However, such FPE may be embedded to any computerized cognitive training in future studies to help address adherence related issues.

抽象的 如何在无监督的情况下确保遵守计算机化的认知训练（例如，在家，自我 在患有阿尔茨海默氏病（AD）或AD相关痴呆症（AD/ADRD）的老年人中， 研究了。 R61/R33的目的是完善和测试基于面部表达的新型个性化 发动机（FPE），用于监视和调节实时有效参与，以增强的最终目标 在老年人中无监督的认知训练的长期依从性，处于AD/ADRD风险的风险。在这里，有效 参与被定义为某人积极参与和表现的程度 训练时的注意力和享受，解决依从性和认知能力/可塑性之间的平衡 从培训。基于以前的工作，包括我们的工作，我们假设（1）心理疲劳在 面部表情将反映学员的有效参与程度，可以通过调节来修改 任务新颖性； （2）我们提议的FPE将通过监视确保有效参与认知培训 受训者的面部表情和调节培训以应对培训，促进了学员的长期遵守 训练和认知可塑性。在R61（Y1-Y2）中，我们将生成用于监视和调节实地的FPE 通过完善我们既定的申请 使用I级设计的编程接口。在R33（Y3-Y5）中，我们将进行II期干预效率 研究比较培训之间无监督的认知训练中有效参与和依从性的研究 在有AD/ADRD风险的老年人中，具有与没有FPE的计划。我们将解决提出的里程碑 这两个阶段to（a）确保拟议的FPE对R33（R61里程碑）和（b）评估的准备 进一步修订FPE将来实施测试（R33里程碑）。影响：拟议的FPE可能有助于 监视和改善无监督认知的老年人的有效参与和依从性 训练。在当前的应用程序中，我们将在名为“处理速度的认知培训计划”中测试FPE 训练。但是，这种FPE可以嵌入到以后的研究中的任何计算机认知培训中，以帮助 解决与依从性有关的问题。