The BRAIN App: Building Relationships using Artificial Intelligence and Nostalgia

PROJECT SUMMARY / ABSTRACT There are currently 6.7 million Americans living with dementia and, without significant breakthroughs, this figure will double to 12.7 million by 2050 (Rajan et al., 2021). There are about 46,000 long-term care (LTC) facilities in the U.S.

(Harris-Kojetin et al, 2016). More than half of LTC residents have some form of dementia (Alzheimer’s Association, 2018). Responsive behaviors and dysfunction of the dementia care triad—i.e., the PLWD, professional Care Partner (CP), and

Family Member (FM)—are inexorably linked. The emergence of responsive behaviors can lead to disruption of the triad’s

function. Thus, it is imperative to maintain positive relationships and a high quality of life (QoL) within the triad to reduce BPSD. Cognitive Stimulation Therapy (CST) has demonstrated improvements in QoL and relationships for PLWD. CST is a psychosocial intervention that promotes communication and engagement in PLWD via a structured program of meaningful

and enjoyable themes (Woods, et al, 2012). While clinical trials have shown improvement in cognition and QoL, the

potential large-scale impact of CST has been hampered by low adherence, with less than 40% completing trials (Rai, et al,

2018). One likely reason for the low adherence to CST is the reliance on generic and non-digital tools (e.g., paper-based

agendas, tools, DVDs, and board games) in facilitating the intervention. That is, even though CST aims to be personalized,

the specific interventions used in the field tend to be generic and not tailored to each PLWD’s specific interests. The use of digital technology to implement CST would offer considerable advantages to expand and personalize the range of stimulation content and provide a means for monitoring responses, optimizing protocols, and promoting adherence.

The proposed Phase II study will involve the continued development and evaluation of a multi-faceted software platform

called “Building Relationships using Artificial Intelligence and Nostalgia” or BRAIN. The BRAIN Platform will be the

first-ever Artificial Intelligence (AI) powered CST digital therapy platform for PLWD. The platform, which has been shown

to be effective in an initial Phase I clinical trial, has three main goals: to improve the quality of life of PLWD, to reduce BPSD in PLWD, and to foster positive relationships between members of the care triad. The proposed Phase II project has

the following Specific Aims: 1. Create an improved Beta version of the BRAIN Platform’s eight components: (1) the Admin Management Dashboard, (2) the Annotation Dashboard, (3) the Log Viewer, (4) the Content Management System (CMS), (5) the Private CMS, (6) the Control App, (7) the Home App, and (8) the Training Dashboard. 2. Fine-tune the different

classes of AI algorithms—i.e., behavioral analytics, personalized content recommendation, and personalized program generation—in the BRAIN app such that they can (a) recognize and track 12 distinct behaviors and indicators of PLWD,

(b) use these behavioral traits as a basis for automatically rating the relative success of each activity, and (c) automatically recommend personalized activities that are likely to be successful for individual PLWD. 3. Conduct a Cluster Randomized

Trial (CRT) of the BRAIN App to examine the app’s impact on engagement/affect, quality of life, and responsive behaviors. 4. Examine satisfaction and ease of use of the app for PLWD, LTC staff, and FMs.