Pan Xueni, Collingwoode-Williams Tara, Antley Angus, Brenton Harry, Congdon Benjamin, Drewett Olivia, Gillies Marco F P, Swapp David, Pleasence Pascoe, Fertleman Caroline, Delacroix Sylvie
Department of Computing, Goldsmiths, University of London, London, United Kingdom.
Department of Computer Science, University College London, London, United Kingdom.
Front Robot AI. 2018 Jul 12;5:80. doi: 10.3389/frobt.2018.00080. eCollection 2018.
The art of picking up signs that a child may be suffering from abuse at home is one of those skills that cannot easily be taught, given its dependence on a range of non-cognitive abilities. It is also difficult to study, given the number of factors that may interfere with this skill in a real-life, professional setting. An immersive virtual reality environment provides a way round these difficulties. In this study, we recruited 64 general practitioners (GPs), with different levels of experience. Would this level of experience have any impact on general practitioners' ability to pick up child-safeguarding concerns? Would more experienced GPs find it easier to pick up subtle (rather than obvious) signs of child-safeguarding concerns? Our main measurement was the quality of the note left by the GP at the end of the virtual consultation: we had a panel of 10 (all experienced in safeguarding) rate the note according to the extent to which they were able to identify and take the necessary steps required in relation to the child safeguarding concerns. While the level of professional experience was not shown to make any difference to a GP's ability to pick up those concerns, the parent's level of aggressive behavior toward the child did. We also manipulated the level of cognitive load (reflected in a complex presentation of the patient's medical condition): while cognitive load did have some impact upon GPs in the "obvious cue" condition (parent behaving particularly aggressively), this effect fell short of significance. Furthermore, our results also suggest that GPs who are less stressed, less neurotic, more agreeable and extroverted tend to be better at raising potential child abuse issues in their notes. These results not only point at the considerable potential of virtual reality as a training tool, they also highlight fruitful avenues for further research, as well as potential strategies to support GP's in their dealing with highly sensitive, emotionally charged situations.
识别儿童可能在家中遭受虐待迹象的技巧,是一种难以传授的技能,因为它依赖于一系列非认知能力。鉴于在现实生活的专业环境中可能干扰这项技能的因素众多,对其进行研究也很困难。沉浸式虚拟现实环境提供了一种克服这些困难的方法。在本研究中,我们招募了64名经验水平各异的全科医生(GP)。这种经验水平会对全科医生识别儿童保护问题的能力产生影响吗?经验更丰富的全科医生会更容易识别出儿童保护问题的细微(而非明显)迹象吗?我们的主要衡量标准是全科医生在虚拟会诊结束时留下的记录质量:我们有一个由10名(均有儿童保护经验)组成的小组,根据他们识别与儿童保护问题相关的迹象并采取必要措施的程度对记录进行评分。虽然专业经验水平并未显示出对全科医生识别这些问题的能力有任何影响,但家长对孩子的攻击性行为水平却有影响。我们还操纵了认知负荷水平(体现在患者病情的复杂呈现中):虽然认知负荷在“明显线索”情况下(家长行为特别具有攻击性)对全科医生确实有一定影响,但这种影响未达到显著水平。此外,我们的结果还表明,压力较小、神经质程度较低、更随和外向的全科医生往往在记录中更善于提出潜在的儿童虐待问题。这些结果不仅指出了虚拟现实作为一种培训工具的巨大潜力,还突出了进一步研究的富有成效的途径,以及支持全科医生处理高度敏感、充满情感的情况的潜在策略。