Can artificial intelligence achieve human-level performance? A pilot study of childhood sexual abuse detection in self-figure drawings

Kissos, Limor; Goldner, Limor; Butman, Moshe; Eliyahu, Niv; Lev–Wiesel, Rachel

doi:10.1016/j.chiabu.2020.104755

Cited by 24 publications

(24 citation statements)

References 60 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This could denote the predicament in deciding between hiding or disclosing the traumatized experience as the emphasized face and the double cheeks or chin symbolized the willingness to vomit or swallow the said experience [ 11 ], while the pressure lines in drawing reflect the muscle tension and the energy level of an individual [ 67 ]. Genitals were also significantly presented in the drawings of CSA participants, which could be a positive indicator of sexual abuse [ 68 ], especially when combined with the presence of face line (double, hollow, shaded), eyes (dots, shaded, hollow, crossed, omitted), and hands and arms (clinging, detached, shadowed, omitted, cutoff) [ 69 ].…”

Section: Discussionmentioning

confidence: 99%

Use of Self-Figure Drawing as an Assessment Tool for Child Abuse: Differentiating between Sexual, Physical, and Emotional Abuse

Jaroenkajornkij

Lev–Wiesel²,

Binson³

2022

Children

Self Cite

View full text Add to dashboard Cite

Child abuse is a worldwide phenomenon with adverse short- and long-term mental and physical negative consequences, with a huge gap between the prevalence of child abuse and disclosure rates. The study aimed to examine and validate the self-figure drawing as an assessment tool to differentiate between three forms of child abuse, i.e., child sexual abuse (CSA), child physical abuse (CPA), and child emotional abuse (CEA). Following the ethical approval, 1707 Thai children (13–18 years old) from the general population (schools) were asked to complete a self-report anonymous questionnaire consisting of four measures (Demographics, Childhood Trauma Questionnaire (CTQ), The Medical Somatic Dissociation Questionnaire (MSDQ), and The Disclosure of Trauma Questionnaire (DTQ)). After completion, they were asked to draw themselves. There was a significantly positive link between the reluctance to disclose and the experience of abuse, indicating that the more severe the abuse the higher the reluctance to disclose. The findings broaden the knowledge of movement and symbols as representations of inner personal conflictual material. Additionally, it substantiates self-figure drawing as an assessment tool and assists practitioners in early child abuse detection.

show abstract

Section: Discussionmentioning

confidence: 99%

Use of Self-Figure Drawing as an Assessment Tool for Child Abuse: Differentiating between Sexual, Physical, and Emotional Abuse

Jaroenkajornkij

Lev–Wiesel²,

Binson³

2022

Children

Self Cite

View full text Add to dashboard Cite

show abstract

“…Studies Online detection [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [9], [39], [40], [41], [42], [43], [8], [44], [45], [46], [47], [48], [49] Offline detection [50], [51], [52], [53], [54], [7], [55], [56] Safety [57], [13], [58], [59], [60], [61],…”

Section: Categorymentioning

confidence: 99%

“…Studies that are part of the offline detection category mainly use ML to detect potential victims of abuse or violence from data that is not generally collected from or available on the Internet. This data can include medical records from public health institutions [50], self-figure drawings of clients provided by therapists [7], or child welfare records [51]. The purpose of these studies is to create assistive tools for teachers, social workers, healthcare workers, and other relevant professionals, that will facilitate the detection of possible cases of abuse.…”

Section: ) Offline Detectionmentioning

confidence: 99%

“…Using another approach, in [7], the authors worked on the automatic detection of CSA from self-figure drawings. They built two CNN models: one to classify self-figure drawings as male or female, and another to differentiate self-figure drawings by clients with a history of sexual abuse from those without a history of sexual abuse according, to their selfreports.…”

Section: ) Offline Detectionmentioning

confidence: 99%

“…Technological contributions using CS and related techniques assist in the detection of potential cases of VAW and VAC, such as peer violence, IPV, and CSA. Given that the majority of cases of VAW are not reported, and that 60% of cases of sexual VAC have a fiveyear delay in disclosure [7], technological solutions may be a valuable tool to assist practitioners in identifying victims of abuse. CS can also be used to detect and prevent pedophilia, by monitoring or controlling the seemingly uncontrollable influx of Internet content that is violent or has a potential to spread violence such as media files depicting CSA [8], or social media posts that are discriminatory or hateful towards women and girls [9], a task which may be time-consuming or emotionally-taxing for those in charge of removing said content.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Systematic Review of Computer Science Solutions for Addressing Violence Against Women and Children

et al. 2021

View full text Add to dashboard Cite

Violence against women and children are public health issues of pandemic proportions. It is estimated that one in every three women worldwide have experienced physical, emotional or sexual violence. Similarly, each year one of two children are victims of some form of violence, including domestic aggression and bullying. Due to the widespread use of the Internet and social media, women and children are also now vulnerable to other types of violence such as cyber-bullying and online sexual or emotional harassment. To help alleviate these social problem, the use of computer sciences and related technologies has been leveraged in recent years. The Internet of Things, artificial intelligence, ubiquitous and mobile computing, pattern recognition, cloud computing, and similar technologies have been used to formulate solutions to detect and prevent violent acts. In this paper, a systematic review of some of the efforts that can help address the problem of violence against women and children is presented. This paper describes the current state-of-the-art of these contributions and identifies trends, architectures, technologies, and current open challenges. The survey was developed using a literature review of academic documents published from 2010 to 2020. The contributions were categorized in four application domains: online detection, offline detection, safety and education. Additionally, these contributions were further categorized based on the computer science approaches and technologies used: artificial intelligence, Internet of Things and digital serious games.

show abstract

Social Work Research Map – ein niederschwelliger Zugang zu internationalen Publikationen der Sozialen Arbeit

Ghanem

Kirchheim²,

Eckl³

2022

Soz Passagen

View full text Add to dashboard Cite

ZusammenfassungInternationalisierung ist ein Politikum in der deutschen Hochschulpolitik. Auch in der Lehre, Forschung und Praxis Sozialer Arbeit wird eine größere Orientierung an internationalen Diskursen gefordert. Aufgrund rasant anwachsender Forschungsergebnisse wird es zunehmend schwerer, sich einen systematischen Überblick über disziplinäre Wissensbestände zu verschaffen. In diesem Beitrag wird die Entwicklung der interaktiven Webseite SWORM („Social Work Research Map“, www.sworm.org) beschrieben, die den Zugang zu wissenschaftlichen Publikationen der Sozialen Arbeit erleichtern soll. Hierfür wurde eine Datenbank von knapp 25.000 Zeitschriftenbeiträgen aus 23 einschlägigen Fachzeitschriften erstellt. Mithilfe automatisierter Analysemethoden (quantitative Textanalyse/Topic-Modeling), wurden die Abstracts untersucht und in 40 thematische Cluster strukturiert. Unterschiedliche Visualisierungstechniken und Filterfunktionen ermöglichen den Nutzer*innen ein eigenständiges Durchsuchen der Datenbank anhand des individuellen Erkenntnisinteresses. Einzelne Suchergebnisse können dabei gesichert werden, wobei ein auf künstlicher Intelligenz basierendes Empfehlungssystem ähnliche Publikationen vorschlägt. Die Entwicklung von SWORM ist ein Beispiel für den Einsatz computerwissenschaftlicher Methoden in der Sozialen Arbeit und verdeutlicht das Potenzial, große Textmengen zu strukturieren und für den Menschen zugänglich zu machen. Gleichzeitig wird deutlich, dass die Anwendung entsprechender Methoden für Sozialwissenschaftler*innen sehr hochschwellig ist und mit dem Einsatz von künstlicher Intelligenz ethische Probleme aufgeworfen werden.

show abstract

Can artificial intelligence achieve human-level performance? A pilot study of childhood sexual abuse detection in self-figure drawings

Cited by 24 publications

References 60 publications

Use of Self-Figure Drawing as an Assessment Tool for Child Abuse: Differentiating between Sexual, Physical, and Emotional Abuse

Use of Self-Figure Drawing as an Assessment Tool for Child Abuse: Differentiating between Sexual, Physical, and Emotional Abuse

A Systematic Review of Computer Science Solutions for Addressing Violence Against Women and Children

Social Work Research Map – ein niederschwelliger Zugang zu internationalen Publikationen der Sozialen Arbeit

Contact Info

Product

Resources

About