WHOT, a Novel Tool to Assist Women Victims of Violence: A Case Study in the Brazilian Amazon

Violence against women is a problem faced in several ways, in various societies; however, the introduction of computational tools is something still little explored in this confrontation. Thus, it is necessary to invest in researches that bring technological development closer to the prevention, dis...

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Main Authors: Saulo William Da Silva Costa, Yomara Pinheiro Pires, Ailton Lopes De Sousa, Fernando Augusto Ribeiro Costa, Euzebio De Oliveira, Fabiola Pantoja Araujo, Marcos Cesar Da Rocha Seruffo
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9461162/
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spelling doaj-4eb6a1d126c94db096f378649a580afa2021-07-12T23:00:08ZengIEEEIEEE Access2169-35362021-01-019950469506010.1109/ACCESS.2021.30907479461162WHOT, a Novel Tool to Assist Women Victims of Violence: A Case Study in the Brazilian AmazonSaulo William Da Silva Costa0https://orcid.org/0000-0002-6073-8432Yomara Pinheiro Pires1https://orcid.org/0000-0001-7724-6082Ailton Lopes De Sousa2Fernando Augusto Ribeiro Costa3https://orcid.org/0000-0002-0226-7505Euzebio De Oliveira4Fabiola Pantoja Araujo5Marcos Cesar Da Rocha Seruffo6https://orcid.org/0000-0002-8106-0560Anthropic Studies in the Amazon Graduate Program (PPGEAA), Federal University of Pará, Castanhal, BrazilAnthropic Studies in the Amazon Graduate Program (PPGEAA), Federal University of Pará, Castanhal, BrazilFederal Institute of Pará, Altamira, BrazilCenter for High Amazon Studies, Federal University of Pará, Belém, BrazilAnthropic Studies in the Amazon Graduate Program (PPGEAA), Federal University of Pará, Castanhal, BrazilGraduate Program in Computer Science, Federal University of Pará, Belém, BrazilAnthropic Studies in the Amazon Graduate Program (PPGEAA), Federal University of Pará, Castanhal, BrazilViolence against women is a problem faced in several ways, in various societies; however, the introduction of computational tools is something still little explored in this confrontation. Thus, it is necessary to invest in researches that bring technological development closer to the prevention, discovery, and combat of this form of violence. This paper presents the Women’s Health Observer Tool (WHOT) that helps to build psychobehavioral profiles of women victims of violence, based on three features: i) recognition of facial expressions to infer emotions; ii) provision of digital questionnaires on intimate partner violence (IPV), adverse childhood experiences (ACE) and post-traumatic stress disorder (PTSD); and iii) generation of individual reports with cross-references of statistical analysis between the data obtained in each interview. To validate the tool, a case study was conducted with 50 women assisted in basic health units in a city of the Brazilian Amazon for prenatal care. The results are satisfactory for the use of the tool, which was able to infer emotions (joy, surprise, sadness, and anger), and the prevalence of sadness (25.24%) was verified among the interviewees. For ACE, the majority (21) of the women reported having suffered only physical abuse; as for IPV, the majority of the interviewees (27) reported no abuse; and 78% of the women (39) had no indicative signs of PTSD. The results further point out that there is 3.94 more chance that the group of women who reported any abuse, either in childhood or adulthood, compared to the reference group, would develop PTSD.https://ieeexplore.ieee.org/document/9461162/Face detectionemotion recognitionviolence against womenmultidisciplinaryhealth and safety
collection DOAJ
language English
format Article
sources DOAJ
author Saulo William Da Silva Costa
Yomara Pinheiro Pires
Ailton Lopes De Sousa
Fernando Augusto Ribeiro Costa
Euzebio De Oliveira
Fabiola Pantoja Araujo
Marcos Cesar Da Rocha Seruffo
spellingShingle Saulo William Da Silva Costa
Yomara Pinheiro Pires
Ailton Lopes De Sousa
Fernando Augusto Ribeiro Costa
Euzebio De Oliveira
Fabiola Pantoja Araujo
Marcos Cesar Da Rocha Seruffo
WHOT, a Novel Tool to Assist Women Victims of Violence: A Case Study in the Brazilian Amazon
IEEE Access
Face detection
emotion recognition
violence against women
multidisciplinary
health and safety
author_facet Saulo William Da Silva Costa
Yomara Pinheiro Pires
Ailton Lopes De Sousa
Fernando Augusto Ribeiro Costa
Euzebio De Oliveira
Fabiola Pantoja Araujo
Marcos Cesar Da Rocha Seruffo
author_sort Saulo William Da Silva Costa
title WHOT, a Novel Tool to Assist Women Victims of Violence: A Case Study in the Brazilian Amazon
title_short WHOT, a Novel Tool to Assist Women Victims of Violence: A Case Study in the Brazilian Amazon
title_full WHOT, a Novel Tool to Assist Women Victims of Violence: A Case Study in the Brazilian Amazon
title_fullStr WHOT, a Novel Tool to Assist Women Victims of Violence: A Case Study in the Brazilian Amazon
title_full_unstemmed WHOT, a Novel Tool to Assist Women Victims of Violence: A Case Study in the Brazilian Amazon
title_sort whot, a novel tool to assist women victims of violence: a case study in the brazilian amazon
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2021-01-01
description Violence against women is a problem faced in several ways, in various societies; however, the introduction of computational tools is something still little explored in this confrontation. Thus, it is necessary to invest in researches that bring technological development closer to the prevention, discovery, and combat of this form of violence. This paper presents the Women’s Health Observer Tool (WHOT) that helps to build psychobehavioral profiles of women victims of violence, based on three features: i) recognition of facial expressions to infer emotions; ii) provision of digital questionnaires on intimate partner violence (IPV), adverse childhood experiences (ACE) and post-traumatic stress disorder (PTSD); and iii) generation of individual reports with cross-references of statistical analysis between the data obtained in each interview. To validate the tool, a case study was conducted with 50 women assisted in basic health units in a city of the Brazilian Amazon for prenatal care. The results are satisfactory for the use of the tool, which was able to infer emotions (joy, surprise, sadness, and anger), and the prevalence of sadness (25.24%) was verified among the interviewees. For ACE, the majority (21) of the women reported having suffered only physical abuse; as for IPV, the majority of the interviewees (27) reported no abuse; and 78% of the women (39) had no indicative signs of PTSD. The results further point out that there is 3.94 more chance that the group of women who reported any abuse, either in childhood or adulthood, compared to the reference group, would develop PTSD.
topic Face detection
emotion recognition
violence against women
multidisciplinary
health and safety
url https://ieeexplore.ieee.org/document/9461162/
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