2022
DOI: 10.1016/j.csl.2021.101263
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Causal indicators for assessing the truthfulness of child speech in forensic interviews

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Cited by 4 publications
(2 citation statements)
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“…The methods, outlined in more detail in §2.3, have been used to extract behavioral dynamics to study Child Forensic Interviews [Ardulov et al, 2018, Durante et al, 2022 and infant-mother interaction modeling [Klein et al, 2021] demonstrating that interpersonal interactions could be holistically evaluated under with these considerations.…”
Section: Automated Therapy Evaluationmentioning
confidence: 99%
See 1 more Smart Citation
“…The methods, outlined in more detail in §2.3, have been used to extract behavioral dynamics to study Child Forensic Interviews [Ardulov et al, 2018, Durante et al, 2022 and infant-mother interaction modeling [Klein et al, 2021] demonstrating that interpersonal interactions could be holistically evaluated under with these considerations.…”
Section: Automated Therapy Evaluationmentioning
confidence: 99%
“…Furthermore, it might be possible to improve overall prediction results by learning in a multi-task setting, as the sub-scores together may contain overlapping information that would improve individual sub-score predictions. Durante et al [2022] demonstrated that measuring the error produced by the autonomous model and controlled model can be used to interpret the coordination between the individuals interacting which was found to be a useful towards predicting global measures about the interaction. In the future, it would possible to conduct a similar evaluation for this data and interpret those results in a similar way to the work done by Martinez et al [2019] which looked at the alignment of narrative structures between clients and therapist to estimate alliance between the dyad, which is a related measure to a few of the scores of interest in CTRS.…”
Section: Future Workmentioning
confidence: 99%