Literature DB >> 35212918

Commercial Use of Emotion Artificial Intelligence (AI): Implications for Psychiatry.

Scott Monteith1, Tasha Glenn2, John Geddes3, Peter C Whybrow4, Michael Bauer5.   

Abstract

PURPOSE OF REVIEW: Emotion artificial intelligence (AI) is technology for emotion detection and recognition. Emotion AI is expanding rapidly in commercial and government settings outside of medicine, and will increasingly become a routine part of daily life. The goal of this narrative review is to increase awareness both of the widespread use of emotion AI, and of the concerns with commercial use of emotion AI in relation to people with mental illness. RECENT
FINDINGS: This paper discusses emotion AI fundamentals, a general overview of commercial emotion AI outside of medicine, and examples of the use of emotion AI in employee hiring and workplace monitoring. The successful re-integration of patients with mental illness into society must recognize the increasing commercial use of emotion AI. There are concerns that commercial use of emotion AI will increase stigma and discrimination, and have negative consequences in daily life for people with mental illness. Commercial emotion AI algorithm predictions about mental illness should not be treated as medical fact.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Affective computing; Artificial intelligence; Emotion AI; Emotion detection; Mental illness; Psychiatry

Mesh:

Year:  2022        PMID: 35212918     DOI: 10.1007/s11920-022-01330-7

Source DB:  PubMed          Journal:  Curr Psychiatry Rep        ISSN: 1523-3812            Impact factor:   5.285


  18 in total

1.  Facial expressions of emotion are not culturally universal.

Authors:  Rachael E Jack; Oliver G B Garrod; Hui Yu; Roberto Caldara; Philippe G Schyns
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-16       Impact factor: 11.205

2.  Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition.

Authors:  Evangelos Sariyanidi; Hatice Gunes; Andrea Cavallaro
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2015-06       Impact factor: 6.226

3.  Gently does it: Humans outperform a software classifier in recognizing subtle, nonstereotypical facial expressions.

Authors:  Neta Yitzhak; Nir Giladi; Tanya Gurevich; Daniel S Messinger; Emily B Prince; Katherine Martin; Hillel Aviezer
Journal:  Emotion       Date:  2017-04-13

Review 4.  Multimodal fusion framework: a multiresolution approach for emotion classification and recognition from physiological signals.

Authors:  Gyanendra K Verma; Uma Shanker Tiwary
Journal:  Neuroimage       Date:  2013-11-20       Impact factor: 6.556

5.  Why faces don't always tell the truth about feelings.

Authors:  Douglas Heaven
Journal:  Nature       Date:  2020-02       Impact factor: 49.962

Review 6.  Emotional Expressions Reconsidered: Challenges to Inferring Emotion From Human Facial Movements.

Authors:  Lisa Feldman Barrett; Ralph Adolphs; Stacy Marsella; Aleix M Martinez; Seth D Pollak
Journal:  Psychol Sci Public Interest       Date:  2019-07

Review 7.  Ethical perspectives on recommending digital technology for patients with mental illness.

Authors:  Michael Bauer; Tasha Glenn; Scott Monteith; Rita Bauer; Peter C Whybrow; John Geddes
Journal:  Int J Bipolar Disord       Date:  2017-02-07

8.  Tracking the affective state of unseen persons.

Authors:  Zhimin Chen; David Whitney
Journal:  Proc Natl Acad Sci U S A       Date:  2019-02-27       Impact factor: 11.205

9.  Demographic effects on facial emotion expression: an interdisciplinary investigation of the facial action units of happiness.

Authors:  Yingruo Fan; Jacqueline C K Lam; Victor O K Li
Journal:  Sci Rep       Date:  2021-03-04       Impact factor: 4.379

Review 10.  Facial age affects emotional expression decoding.

Authors:  Mara Fölster; Ursula Hess; Katja Werheid
Journal:  Front Psychol       Date:  2014-02-04
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  1 in total

Review 1.  Expectations for Artificial Intelligence (AI) in Psychiatry.

Authors:  Scott Monteith; Tasha Glenn; John Geddes; Peter C Whybrow; Eric Achtyes; Michael Bauer
Journal:  Curr Psychiatry Rep       Date:  2022-10-10       Impact factor: 8.081

  1 in total

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