Research Background

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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 FACE 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.

Study Aims

• 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

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Recruitment will occur at Stanford University. ​

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