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Using an AI-based avatar for interviewer training at Children's Advocacy Centers: Proof of Concept.
Baugerud, Gunn-Astrid; Johnson, Miriam S; Dianiska, Rachel; Røed, Ragnhild K; Powell, Martine B; Lamb, Michael E; Hassan, Syed Zohaib; Sabet, Saaed S; Hicks, Steven; Salehi, Pegah; Riegler, Michael A; Halvorsen, Pål; Quas, Jodi.
Afiliação
  • Baugerud GA; Oslo Metropolitan University, Oslo, Norway.
  • Johnson MS; Oslo Metropolitan University, Oslo, Norway.
  • Dianiska R; University of California Irvine, Irvine, CA, USA.
  • Røed RK; Oslo Metropolitan University, Oslo, Norway.
  • Powell MB; Griffith University, Mount Gravatt, QLD, Australia.
  • Lamb ME; University of Cambridge, Cambridge, UK.
  • Hassan SZ; Simula Metropolitan Center for Digital Engineering AS, Lysaker, Norway.
  • Sabet SS; Simula Metropolitan Center for Digital Engineering AS, Lysaker, Norway.
  • Hicks S; Simula Metropolitan Center for Digital Engineering AS, Lysaker, Norway.
  • Salehi P; Simula Metropolitan Center for Digital Engineering AS, Lysaker, Norway.
  • Riegler MA; Simula Metropolitan Center for Digital Engineering AS, Lysaker, Norway.
  • Halvorsen P; Simula Metropolitan Center for Digital Engineering AS, Lysaker, Norway.
  • Quas J; University of California Irvine, Irvine, CA, USA.
Child Maltreat ; : 10775595241263017, 2024 Jun 18.
Article em En | MEDLINE | ID: mdl-38889731
ABSTRACT
This proof-of- concept study focused on interviewers' behaviors and perceptions when interacting with a dynamic AI child avatar alleging abuse. Professionals (N = 68) took part in a virtual reality (VR) study in which they questioned an avatar presented as a child victim of sexual or physical abuse. Of interest was how interviewers questioned the avatar, how productive the child avatar was in response, and how interviewers perceived the VR interaction. Findings suggested alignment between interviewers' virtual questioning approaches and interviewers' typical questioning behavior in real-world investigative interviews, with a diverse range of questions used to elicit disclosures from the child avatar. The avatar responded to most question types as children typically do, though more nuanced programming of the avatar's productivity in response to complex question types is needed. Participants rated the avatar positively and felt comfortable with the VR experience. Results underscored the potential of AI-based interview training as a scalable, standardized alternative to traditional methods.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article