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An interactive ecosystem based on Borda voting schemes and serious games to support the discovery of aggressiveness and inhibition traits on scholar children

机译:基于波尔达投票计划和严肃游戏的互动生态系统,以支持学者儿童发现侵略性和抑制性状

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Nowadays some children assisting to regular schools can present psychological traits related to aggressiveness, inhibition or lack of social skills. This situation becomes more complicated in children living under social risk: the global statistics estimate a prevalence of 153 million children who have lost one or both parents and, according to the United Nations, about 8 million children are living under institutional care, worldwide. For these reasons, in this paper, we present an interactive ecosystem that relies on serious games, data mining and statistical analysis with the aim of providing support during the psychological diagnosis and intervention of children that present aggressiveness and inhibition traits. Our proposal has been put to test in two stages: a first one to determine the perception of 213 children about the game, and a second to determine the game pattern of 103 clinically diagnosed children (40 aggressive, 30 inhibited and 33 assertive).
机译:如今,一些有助于普通学校的儿童可以提出与侵略性,抑制或缺乏社交技能相关的心理特征。这种情况在社会风险下的儿童变得更加复杂:全球统计数据估算了15300万人失去了一个或两个父母的儿童,并根据联合国损失了约800万个儿童在全球范围内居住在机构护理下。出于这些原因,在本文中,我们提出了一种依赖严重游戏,数据挖掘和统计分析的互动生态系统,其目的在于提供攻击性和抑制性状的儿童的心理诊断和干预期间提供支持。我们的提案已在两个阶段进行测试:第一个确定对游戏的213名儿童感知的第一个,以及一秒钟,以确定103名临床诊断的儿童的游戏模式(40个侵略性,30次抑制和33个自称)。

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