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Affective Computing for Late-Life Mood and Cognitive Disorders

Version 2 2024-06-06, 07:28
Version 1 2022-09-28, 10:19
journal contribution
posted on 2024-06-06, 07:28 authored by E Smith, EA Storch, I Vahia, STC Wong, H Lavretsky, JL Cummings, HA Eyre
Affective computing (also referred to as artificial emotion intelligence or emotion AI) is the study and development of systems and devices that can recognize, interpret, process, and simulate emotion or other affective phenomena. With the rapid growth in the aging population around the world, affective computing has immense potential to benefit the treatment and care of late-life mood and cognitive disorders. For late-life depression, affective computing ranging from vocal biomarkers to facial expressions to social media behavioral analysis can be used to address inadequacies of current screening and diagnostic approaches, mitigate loneliness and isolation, provide more personalized treatment approaches, and detect risk of suicide. Similarly, for Alzheimer's disease, eye movement analysis, vocal biomarkers, and driving and behavior can provide objective biomarkers for early identification and monitoring, allow more comprehensive understanding of daily life and disease fluctuations, and facilitate an understanding of behavioral and psychological symptoms such as agitation. To optimize the utility of affective computing while mitigating potential risks and ensure responsible development, ethical development of affective computing applications for late-life mood and cognitive disorders is needed.

History

Journal

Frontiers in Psychiatry

Volume

12

Pagination

1-9

Location

Lausanne, Switzerland

eISSN

1664-0640

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Publisher

Frontiers