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dc.contributor.authorSalehi, Pegah
dc.contributor.authorHassan, Syes Zohaib
dc.contributor.authorBaugerud, Gunn Astrid
dc.contributor.authorPowell, Martine
dc.contributor.authorSinkerud Johnson, Miriam
dc.contributor.authorJohansen, Dag
dc.contributor.authorSabet, Saeed
dc.contributor.authorRiegler, Michael Alexander
dc.contributor.authorHalvorsen, Pål
dc.date.accessioned2024-11-18T13:17:40Z
dc.date.available2024-11-18T13:17:40Z
dc.date.issued2024-08-12
dc.description.abstractThis paper presents a detailed study of an AI-driven platform designed for the training of child welfare and law enforcement professionals in conducting investigative interviews with maltreated children. It achieves a subjective simulation of interview situation through the integration of fine-tuned GPT-3 models within the Unity framework. The study recruited participants from a range of backgrounds, including professionals experienced in conducting investigative interviews and individuals with academic qualifications in psychology, criminology, or related disciplines. To assess the effectiveness of this tool, a multi-method evaluation approach was utilized, incorporating both quantitative analyses and qualitative interviews. The quantitative methods included mixed-effects models, which provided insights into how effects such as the type of virtual environment (2D vs. 3D), scenario variations, virtual reality (VR) familiarity, and professional expertise influence the user experience. Additionally, structural equation modeling (SEM) provided deeper insights into the relationships between variables, offering a comprehensive understanding of how they collectively impact the user experience. The qualitative method included a detailed semi-structured interview that provided a deeper understanding of user experiences and perceptions. The findings indicate significant advantages of the 3D environment in enhancing Flow and Virtual Fidelity; however, the 2D environment was favored for Usability. Despite the 3D environment’s potential for greater immersion, the discomfort associated with VR head-mounted displays (HMDs) led some users to prefer the 2D setup. Familiarity with VR technology positively influenced user perception, indicating that prior exposure can mitigate some of the Avatar Interaction Comfort issues. Additionally, the Hand Movement Perception was better understood in scenarios with sensitive themes. As user experience increased, participants had a more positive view of the Age-Appropriate Response. Furthermore, the dialog system’s effectiveness, particularly Response Relevance and Detailed Responses, played a significant role in Empathy Elicitation, often outweighing Virtual Fidelity. However, Emotion in facial expressions and Responsiveness were two factors that negatively impacted the effectiveness of the tool, indicating areas that need improvement in the future.en_US
dc.identifier.citationSalehi, Hassan, Baugerud, Powell, Sinkerud Johnson, Johansen, Sabet, Riegler, Halvorsen. A Theoretical and Empirical Analysis of 2D and 3D Virtual Environments in Training for Child Interview Skills. IEEE Access. 2024;12en_US
dc.identifier.cristinIDFRIDAID 2318810
dc.identifier.doi10.1109/ACCESS.2024.3442297
dc.identifier.issn2169-3536
dc.identifier.urihttps://hdl.handle.net/10037/35751
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.journalIEEE Access
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2024 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titleA Theoretical and Empirical Analysis of 2D and 3D Virtual Environments in Training for Child Interview Skillsen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's license is described as Attribution 4.0 International (CC BY 4.0)