Fire Image Set for Evoking Panic

Iqbal Sabilirrasyad, A. Basuki, T. Harsono
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Abstract

Fire is the closest disaster to us, a person who put cigarettes around flammable objects could burn one to dozens of houses. The last thing that happens was a mass panic. In this kind of situation, panic is one of the keys to determine how much probability someone will survive. However, detecting someone's panic during a fire is impossible. This leads some scientists to assume that mass panic was never happening and some studies use simple functions to determine someone when panic. Currently, thanks to technological advances we can easily build virtual worlds that resemble real events. To build a virtual world that could evoke panic we still need the right stimulus. In this paper, we will discuss with terms of fire disaster stimulus that possible to impel someone to feel panic. While some stimulus datasets that already exist have more broad categories, we wanted to focus on a specific problem. The determined parameters are considered through several elements that could cause a person to panic, either before or during a fire. By using the Self-Assessment Manikin system to obtain valance and arousal matrix, we conduct a test to see how much influence the fire categories stimulus provided.
火灾图像设置唤起恐慌
火灾是离我们最近的灾难,一个人在易燃物品周围放香烟可能会烧毁一个到几十个房子。最后发生的事情是大规模恐慌。在这种情况下,恐慌是决定一个人存活几率的关键因素之一。然而,在火灾中检测某人的恐慌是不可能的。这导致一些科学家假设大规模恐慌从未发生过,一些研究使用简单的功能来确定某人何时恐慌。目前,由于技术的进步,我们可以很容易地建立类似于真实事件的虚拟世界。为了建立一个可以引起恐慌的虚拟世界,我们仍然需要正确的刺激。在本文中,我们将讨论可能促使人们感到恐慌的火灾刺激条件。虽然一些已经存在的刺激数据集有更广泛的类别,但我们想关注一个具体的问题。确定的参数是通过几个因素来考虑的,这些因素可能会导致人们在火灾前或火灾中恐慌。通过使用自我评估模型系统获得价值和唤醒矩阵,我们进行了一个测试,看看五个类别的刺激提供了多大的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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