Using tripartite group area as a measure of social interactions in pre-school children: A pilot study

Using tripartite group area as a measure of social interactions in pre-school children: A pilot study
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使用三方群体面积作为学龄前儿童社交互动的衡量标准:一项试点研究

DOI:
10.1007/s12144-021-01671-1
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发表时间:
2021
期刊:
影响因子:
2.8
通讯作者:
Yamamoto Junichi
Yamamoto Junichi
中科院分区:
心理学4区
文献类型:
--
作者:
Tsukamoto Masashi;Tsuji Airi;Sekine Satoru;Omori Takahide;Suzuki Kenji;Yamamoto Junichi

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本研究旨在利用动作捕捉系统测量三分群体面积,并探讨群体面积是否可以作为衡量学前儿童社会交往的指标。在实验1中,两个典型的发展中国家的女孩和一名成年工作人员从事自由发挥。在实验2中,两名发育正常的男孩和两名成年工作人员玩气球排球。这两个实验都有三种类型的措施:主观评价参与者是否一起玩,社会行为(例如,实验1的目光接触和实验2的气球投掷)和组面积。结果表明,在实验2中,群体面积与主观评价呈显著负相关,而在实验1中,我们没有观察到主观评价与群体面积之间的关系。然而,总体而言,只有一个低的相关性,观察到主观评价和组面积在实验2。此外,主观评价和社会行为之间有很强的序贯关联,而不是主观评价和群体面积之间。虽然群体面积作为社会互动的指标不如人类直接观察到的行为数据准确,但它可能值得作为一种低成本的初步措施使用,因为它可以使用运动捕捉系统自动计算。
This study aimed to measure tripartite group area using motion capture systems and investigated whether group area could be used as a measure of pre-school children’s social interactions. In Experiment 1, two typically developing girls and an adult staff member engaged in free play. In Experiment 2, two typically developing boys and two adult staff members played balloon volleyball. Both experiments had three types of measures: subjective evaluation of whether participants played together, social behaviours (e.g. eye contact for Experiment 1 and balloon tosses for Experiment 2) and group area. Results showed that group area was significantly and negatively related to subjective evaluation in Experiment 2, whereas we observed no relationship between subjective evaluation and group area in Experiment 1. Overall, however, only a low correlation was observed between subjective evaluation and group area in Experiment 2. Furthermore, there were strong sequential associations between subjective evaluation and social behaviour, rather than between subjective evaluation and group area. Although group area as an index of social interactions is less accurate than behavioural data directly observed by humans, it may be worth using as a low-cost preliminary measure, since it can be automatically calculated using motion capture systems.
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