Synthesizing a Talking Child Avatar to Train Interviewers Working with Maltreated Children

Thumbnail Image
File version

Version of Record (VoR)

Salehi, Pegah
Hassan, Syed Zohaib
Lammerse, Myrthe
Sabet, Saeed Shafiee
Riiser, Ingvild
Roed, Ragnhild Klingenberg
Johnson, Miriam S
Thambawita, Vajira
Hicks, Steven A
Powell, Martine
Lamb, Michael E
Baugerud, Gunn Astrid
Halvorsen, Pal
Riegler, Michael A
Griffith University Author(s)
Primary Supervisor
Other Supervisors
File type(s)

When responding to allegations of child sexual, physical, and psychological abuse, Child Protection Service (CPS) workers and police personnel need to elicit detailed and accurate accounts of the abuse to assist in decision-making and prosecution. Current research emphasizes the importance of the interviewer’s ability to follow empirically based guidelines. In doing so, it is essential to implement economical and scientific training courses for interviewers. Due to recent advances in artificial intelligence, we propose to generate a realistic and interactive child avatar, aiming to mimic a child. Our ongoing research involves the integration and interaction of different components with each other, including how to handle the language, auditory, emotional, and visual components of the avatar. This paper presents three subjective studies that investigate and compare various state-of-the-art methods for implementing multiple aspects of the child avatar. The first user study evaluates the whole system and shows that the system is well received by the expert and highlights the importance of its realism. The second user study investigates the emotional component and how it can be integrated with video and audio, and the third user study investigates realism in the auditory and visual components of the avatar created by different methods. The insights and feedback from these studies have contributed to the refined and improved architecture of the child avatar system which we present here.

Journal Title

Big Data and Cognitive Computing

Conference Title
Book Title




Thesis Type
Degree Program
Publisher link
Patent number
Grant identifier(s)
Rights Statement
Rights Statement

© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (

Item Access Status
Access the data
Related item(s)

Modelling and simulation

Forensic psychology


Professional education and training

Applied and developmental psychology

Information and computing sciences

Science & Technology


Computer Science, Artificial Intelligence

Computer Science, Information Systems

Computer Science, Theory & Methods

Persistent link to this record

Salehi, P; Hassan, SZ; Lammerse, M; Sabet, SS; Riiser, I; Roed, RK; Johnson, MS; Thambawita, V; Hicks, SA; Powell, M; Lamb, ME; Baugerud, GA; Halvorsen, P; Riegler, MA, Synthesizing a Talking Child Avatar to Train Interviewers Working with Maltreated Children, Big Data and Cognitive Computing, 2022, 6 (2), pp. 62