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Learning in an interactive simulation tool against landslide risks: the role of strength and availability of experiential feedback

机译:在对滑坡风险的互动模拟工具中学习:体验反馈的力量和可用性的作用

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摘要

Feedback via simulation tools is likely to help people improve their decision-making against natural disasters. However, little is known on how differing strengths of experiential feedback and feedback's availability in simulation tools influence people's decisions against landslides. We tested the influence of differing strengths of experiential feedback and feedback's availability on people's decisions against landslides in Mandi, Himachal Pradesh, India. Experiential feedback (high or low) and feedback's availability (present or absent) were varied across four between-subject conditions in a tool called the Interactive Landslide Simulation (ILS): high damage with feedback present, high damage with feedback absent, low damage with feedback present, and low damage with feedback absent. In high-damage conditions, the probabilities of damages to life and property due to landslides were 10 times higher than those in the low-damage conditions. In feedback-present conditions, experiential feedback was provided in numeric, text, and graphical formats in ILS. In feedback-absent conditions, the probabilities of damages were described; however, there was no experiential feedback present. Investments were greater in conditions where experiential feedback was present and damages were high compared to conditions where experiential feedback was absent and damages were low. Furthermore, only high-damage feedback produced learning in ILS. Simulation tools like ILS seem appropriate for landslide risk communication and for performing what-if analyses.
机译:通过模拟工具的反馈可能有助于人们改善他们对自然灾害的决策。然而,对于模拟工具的经验反馈和反馈的可用性的不同优势知之甚少,影响人们对滑坡的决定。我们测试了体验反馈和反馈的不同优势的影响和反馈对人民决策对印度喜马偕尔邦的山体滑坡的可用性。经验前反馈(高或低)和反馈的可用性(当前或缺席)在一个名为Interactive Landslide仿真(ILS)的工具中的4个主题条件下变化:具有反馈的高损伤,具有反馈的高损坏,缺席,低损坏存在反馈,并缺少反馈的低损坏。在高损害条件下,损害损失和由于山体滑坡的财产的概率比低损伤条件的损失和财产的概率高10倍。在反馈目前的条件下,IL中的数字,文本和图形格式提供体验反馈。在反馈不存在条件下,描述了损坏的概率;但是,没有实体反馈存在。在实验性反馈的条件下,投资更大,并且与体验性反馈的条件相比,损害损失和损害损失低。此外,只有高损害的反馈在ILS中产生了学习。像ILS这样的仿真工具似乎适用于滑坡风险通信,并且用于执行什么 - 如果分析。

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