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 如何确保在无人监督的情况下（例如在家、自我训练）遵守计算机化认知训练 对于有阿尔茨海默病 (AD) 或 AD 相关痴呆 (AD/ADRD) 风险的老年人来说 R61/R33 的目标是完善和测试一种新颖的基于面部表情的个性化。 用于监控和调节实时有效交战的引擎（FPE），最终目标是增强 对于有AD/ADRD风险的老年人来说，长期坚持无监督的认知训练是有效的。 敬业度被定义为某人积极参与并做出重大贡献的程度 训练时的注意力和享受，解决依从性和认知收益/可塑性之间的平衡 根据之前的工作，包括我们的工作，我们发现（1）精神疲劳。 面部表情将反映受训者的有效参与程度，可以通过调节来修改 任务新颖性；（2）我们提出的 FPE 将通过监控确保有效参与认知训练 学员面部表情并调节训练反应，促进学员长期坚持 在 R61 (Y1-Y2) 中，我们将生成用于监控和调节真实的 FPE。 通过完善我们既定的应用程序，让有 AD/ADRD 风险的老年人花时间参与认知训练 使用第一阶段设计的编程接口在R33（Y3-Y5）中，我们将进行第二阶段干预功效。 研究比较训练之间无监督认知训练的有效参与和坚持 在有 AD/ADRD 风险的老年人中进行 FPE 与不进行 FPE 的计划我们将解决 中提出的里程碑。 这两个阶段都是为了 (a) 确保拟议的 FPE 为 R33（R61 里程碑）做好准备，以及 (b) 评估和 进一步修订 FPE 以进行未来的实施测试（R33 里程碑） 影响：拟议的 FPE 可能会有所帮助。 监测和改善认知无人监督的老年人的有效参与和依从性 在当前的应用程序中，我们将在称为处理速度的认知训练计划中测试 FPE。 然而，这种 FPE 可能会嵌入到未来研究中的任何计算机化认知训练中以提供帮助。 解决与遵守相关的问题。