Cargando…

Affective Computing for Late-Life Mood and Cognitive Disorders

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, affec...

Descripción completa

Detalles Bibliográficos
Autores principales: Smith, Erin, Storch, Eric A., Vahia, Ipsit, Wong, Stephen T. C., Lavretsky, Helen, Cummings, Jeffrey L., Eyre, Harris A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8732874/
https://www.ncbi.nlm.nih.gov/pubmed/35002802
http://dx.doi.org/10.3389/fpsyt.2021.782183
_version_ 1784627693689503744
author Smith, Erin
Storch, Eric A.
Vahia, Ipsit
Wong, Stephen T. C.
Lavretsky, Helen
Cummings, Jeffrey L.
Eyre, Harris A.
author_facet Smith, Erin
Storch, Eric A.
Vahia, Ipsit
Wong, Stephen T. C.
Lavretsky, Helen
Cummings, Jeffrey L.
Eyre, Harris A.
author_sort Smith, Erin
collection PubMed
description 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.
format Online
Article
Text
id pubmed-8732874
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-87328742022-01-07 Affective Computing for Late-Life Mood and Cognitive Disorders Smith, Erin Storch, Eric A. Vahia, Ipsit Wong, Stephen T. C. Lavretsky, Helen Cummings, Jeffrey L. Eyre, Harris A. Front Psychiatry Psychiatry 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. Frontiers Media S.A. 2021-12-23 /pmc/articles/PMC8732874/ /pubmed/35002802 http://dx.doi.org/10.3389/fpsyt.2021.782183 Text en Copyright © 2021 Smith, Storch, Vahia, Wong, Lavretsky, Cummings and Eyre. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychiatry
Smith, Erin
Storch, Eric A.
Vahia, Ipsit
Wong, Stephen T. C.
Lavretsky, Helen
Cummings, Jeffrey L.
Eyre, Harris A.
Affective Computing for Late-Life Mood and Cognitive Disorders
title Affective Computing for Late-Life Mood and Cognitive Disorders
title_full Affective Computing for Late-Life Mood and Cognitive Disorders
title_fullStr Affective Computing for Late-Life Mood and Cognitive Disorders
title_full_unstemmed Affective Computing for Late-Life Mood and Cognitive Disorders
title_short Affective Computing for Late-Life Mood and Cognitive Disorders
title_sort affective computing for late-life mood and cognitive disorders
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8732874/
https://www.ncbi.nlm.nih.gov/pubmed/35002802
http://dx.doi.org/10.3389/fpsyt.2021.782183
work_keys_str_mv AT smitherin affectivecomputingforlatelifemoodandcognitivedisorders
AT storcherica affectivecomputingforlatelifemoodandcognitivedisorders
AT vahiaipsit affectivecomputingforlatelifemoodandcognitivedisorders
AT wongstephentc affectivecomputingforlatelifemoodandcognitivedisorders
AT lavretskyhelen affectivecomputingforlatelifemoodandcognitivedisorders
AT cummingsjeffreyl affectivecomputingforlatelifemoodandcognitivedisorders
AT eyreharrisa affectivecomputingforlatelifemoodandcognitivedisorders