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Analyzing Young People's Awareness for Mutual Assistance Support System with Bayesian Network

机译:贝叶斯网络分析年轻人对互助支持系统的意识

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We have shown the concept of information sharing system to support vulnerable road users living in some regions of Hiroshima city where public transport is not sufficiently developed and then we also have constructed a web service to support their daily life named MASS. To make our system effective for solving the issues of "vulnerable road users" mainly elderly people, active participation of young people is essential because most of the resources of skills will be provided by young people. The analysis of the previous work unveiled a trend of the youth consciousness about skill sharing in their local community but also showed the limitation of Quantification Method Type II. Therefore, in this paper, in order to discuss the continuity of our system as a business, we conducted an attitude survey on young people's awareness of resource sharing at their local community and analyzed it with Bayesian network. From the experimental result, we confirmed the findings of the previous research and further clarified the relationship between the factors which we could not clarify so far. In addition, we conducted numerical experiments using the constructed Bayesian network, obtained results that support several hypotheses, and revealed factors that have a strong influence on the use of MASS.
机译:我们已经展示了信息共享系统的概念,以支持生活在广岛市某些公共交通不发达地区的弱势道路使用者,然后,我们还构建了一个名为MASS的网络服务来支持他们的日常生活。为了使我们的系统有效地解决主要是老年人的“弱势道路使用者”问题,年轻人的积极参与必不可少,因为大多数技能资源将由年轻人提供。对先前工作的分析揭示了青年在当地社区分享技能的意识的趋势,但也显示了II型量化方法的局限性。因此,在本文中,为了讨论我们系统作为企业的连续性,我们对年轻人在当地社区的资源共享意识进行了态度调查,并通过贝叶斯网络对其进行了分析。根据实验结果,我们确认了先前研究的结果,并进一步弄清了目前尚无法阐明的因素之间的关系。此外,我们使用构造的贝叶斯网络进行了数值实验,获得了支持多种假设的结果,并揭示了对MASS使用产生重大影响的因素。

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