Show simple item record

dc.contributor.authorSalehi, Pegah
dc.contributor.authorHassan, Syed Zohaib
dc.contributor.authorLammerse, Myrthe
dc.contributor.authorShafiee Sabet, Saeed
dc.contributor.authorRiiser, Ingvild
dc.contributor.authorRøed, Ragnhild Klingenberg
dc.contributor.authorSinkerud Johnson, Miriam
dc.contributor.authorHicks, Steven
dc.contributor.authorThambawita, Vajira
dc.contributor.authorPowell, Martine
dc.contributor.authorLamb, Michael E.
dc.contributor.authorBaugerud, Gunn Astrid
dc.contributor.authorHalvorsen, Pål
dc.contributor.authorRiegler, Michael
dc.date.accessioned2022-09-20T06:25:27Z
dc.date.available2022-09-20T06:25:27Z
dc.date.issued2022-06-01
dc.description.abstractWhen 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.en_US
dc.identifier.citationSalehi, Hassan, Lammerse, Shafiee Sabet, Riiser, Røed, Sinkerud Johnson, Hicks S, Thambawita, Powell, Lamb, Baugerud, Halvorsen, Riegler M. Synthesizing a Talking Child Avatar to Train Interviewers Working with Maltreated Children. Big Data and Cognitive Computing. 2022;6(2)en_US
dc.identifier.cristinIDFRIDAID 2029785
dc.identifier.doi10.3390/bdcc6020062
dc.identifier.issn2504-2289
dc.identifier.urihttps://hdl.handle.net/10037/26861
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.relation.journalBig Data and Cognitive Computing
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.titleSynthesizing a Talking Child Avatar to Train Interviewers Working with Maltreated Childrenen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


File(s) in this item

Thumbnail

This item appears in the following collection(s)

Show simple item record