Assessing Emotional Responses in People With Dementia Using Facial Assessment Software
Ellen McCreedy, Kelley Hurley, Ann Reddy, Corinne Roma

TL;DR
This pilot study explores using facial assessment software to detect emotions in people with dementia and compares it to a self-report tool.
Contribution
The study evaluates the feasibility and correlation of facial assessment software with a validated self-report mood test in dementia patients.
Findings
Moderate positive correlations were found between self-reported good mood and SOLO-detected well-being.
Self-reported happiness and SOLO-detected happiness showed moderate positive correlation.
Self-reported worry correlated with SOLO-detected stress.
Abstract
Facial assessment software may help people living with dementia better communicate their emotional states, particularly as the disease progresses, and may help researchers evaluate the effect of promising interventions on momentary affective states. For this pilot study, we partnered with CareLink, a Rhode Island-based healthcare network providing high-quality, evidence-based care for older adults, and SOLO, facial assessment software which has been integrated into a user-friendly application that can be accessed from a tablet or smartphone (https://www.imsolo.ai/). We compared SOLO output to results from Dementia Mood Picture Test (DMPT), a validated self-report tool in which people living with dementia self-report current emotion states using pictures of faces. CareLink enrolled 12 community-dwelling older adults with mild or moderate dementia between September 2023 and April 2024.…
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Taxonomy
TopicsDementia and Cognitive Impairment Research · Emotion and Mood Recognition · Mental Health via Writing
