Capturing cognitive capacity in the everyday environment across a continuum of cognitive decline using a smartwatch n-back task and ecological momentary assessment.

Objective: Cognitive testing using mobile technologies can assist with early detection of cognitive decline. We use ecological momentary assessment to investigate the feasibility, reliability, and validity of a smartwatch n-back task (1-back) delivered to adults across the cognitive continuum.

Method: One hundred seventy-four community-dwelling individuals ( = 70.

Predicting daily cognition and lifestyle behaviors for older adults using smart home data and ecological momentary assessment.

Objective: Extraction of digital markers from passive sensors placed in homes is a promising method for understanding real-world behaviors. In this study, machine learning (ML) and multilevel modeling (MLM) are used to examine types of digital markers and whether smart home sensors can predict cognitive functioning, lifestyle behaviors, and contextual factors measured through ecological momentary assessment (EMA).

Method: Smart home sensors were installed in the homes of 44 community-dwelling midlife and older adults for 3-4 months.

But will they use it? Predictors of adoption of an electronic memory aid in individuals with amnestic mild cognitive impairment.

Objective: Electronic memory aids are being researched and developed widely to assist the everyday functioning of individuals experiencing cognitive decline. Although development studies show promise in the initial use of electronic memory aids, little is known about the factors that influence adoption of these aids after training ends.

Method: We analyzed the baseline characteristics (e.

Partnering a Compensatory Application with Activity-Aware Prompting to Improve Use in Individuals with Amnestic Mild Cognitive Impairment: A Randomized Controlled Pilot Clinical Trial.

Background: Compensatory aids can help mitigate the impact of progressive cognitive impairment on daily living.

Objective: We evaluate whether the learning and sustained use of an Electronic Memory and Management Aid (EMMA) application can be augmented through a partnership with real-time, activity-aware transition-based prompting delivered by a smart home.

Methods: Thirty-two adults who met criteria for amnestic mild cognitive impairment (aMCI) were randomized to learn to use the EMMA app on its own (N = 17) or when partnered with smart home prompting (N = 15).

Building institutional resilience in the context of climate change in Aurora, Philippines.

The role of local government units (LGUs) in disaster resilience is crucial for a hazard-prone country such as the Philippines. Although the country has its own institutional framework on disaster risk reduction, a number of issues limit LGUs' potential to perform its role. This study focused on building institutional resilience of LGUs towards building climate risk resilience in Aurora, Philippines by engaging key actors in the formulation of Local Climate Change Action Plans (LCCAP).

Aging and the role of attention in associative learning.

In this study, we investigated whether age-related deficits in cue-outcome associative learning (e.g., Mutter, Atchley, & Plumlee, 2012; Mutter, DeCaro, & Plumlee, 2009; Mutter, Haggbloom, Plumlee, & Schirmer, 2006; Mutter & Williams, 2004) might be due to a decline in older adults' ability to modulate attention to relevant and irrelevant cues.