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Evaluation Methods for Knowledge Representation in Electronic Debate Platforms.

机译：电子辩论平台中知识表示的评估方法。

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摘要

Computer support for collaborative decision making has been a challenging task addressed by large research communities [22, 28, 32, 96, 102, 110, 117, 130, 159, 191]. Many solutions are provided by various tools and web-based social networks, and organizations struggle to find the best one to fit their needs [32, 110]. In this research, we address the issue of evaluating existing solutions from the perspective of how well they achieve elements needed for the support of collaborative decision making. This research is found at the confluence of the established research areas of discourse architecture, human-computer interfaces and artificial intelligence. We identify factors that are considered essential to the process of making decisions. Some of the most important of such factors consist of identifying the opposing arguments and evaluating their importance. We consider that these factors quantify how well participants learn and understand each other's positions, as well as how well they understand the addressed problem. We evaluate competing models for representing knowledge in debates regarding their impact on the aforementioned factors. To evaluate models, we keep the graphical user interface structure unchanged while modifying the allowed configurations of meta-data linking submitted comments (threading model). The identification and evaluation of the importance for arguments is based on interviews. All interviewed subjects are exposed to the same set of debates, but each of them encounters a different comment threading model. The debates are created by casting real televised debates into the evaluated threading model representation, a process that is improved by having it performed by multiple subjects.;The debates used in our research come from one area of applications, in particular, the area of theological argumentation. A question that arises is whether drawn conclusions do apply to other areas, such as politics and commerce. A set of surveys was used to compare the expectations of users from forums specializing in these different areas. It was found that expectations are different in two major regards, but a large number of features can still be shared between specialized forums.;In this dissertation, we detail our experiments and conclusions, explaining the principles used for preparing and conducting our surveys and interviews. The experiments validate the fact that quality differences between debate technologies can be quantified based on their final purpose. Three threading models are evaluated as a way to exemplify and test the concepts. This can lead to a principled and scientific improvement of electronic debate architectures, an important application of the computer technology.;This dissertation focuses on analyzing and comparing threading models for representing knowledge stemming from debates. Online networks, including Facebook and MySpace, provide an easy way to create circles of friends. However, they have not yet been studied from the perspective of how they improve group decision making. Large amounts of data and spam that can occur in decentralized social networks raise a challenge for debate user interfaces. The problem that emerges is to scientifically decide how well the debate mechanisms proposed in debate systems really offer the enhancements for which they were proposed. Our solution can be extended to address many of these problems.
机译：大型决策机构[22，28，32，96，102，110，117，130，159，191]为协作决策提供计算机支持已成为一项具有挑战性的任务。各种工具和基于Web的社交网络提供了许多解决方案，组织努力寻找最适合他们需求的解决方案[32，110]。在这项研究中，我们从解决现有解决方案实现支持协作决策所需要素的能力的角度出发，解决了评估现有解决方案的问题。这项研究是在话语架构，人机界面和人工智能等已建立的研究领域的融合中找到的。我们确定决策过程中必不可少的因素。这些因素中最重要的一些因素包括确定对立的论点并评估其重要性。我们认为，这些因素量化了参与者学习和理解彼此立场的程度，以及他们对所解决问题的理解程度。我们评估了竞争模型，以在辩论中对知识对上述因素的影响来表示知识。为了评估模型，我们在修改元数据链接提交的注释（线程模型）的允许配置时，保持图形用户界面结构不变。对论点重要性的识别和评估是基于访谈的。所有受访主题都经历了相同的辩论，但是每个主题都遇到了不同的评论线索模型。辩论是通过将实际的电视辩论放入评估的线程模型表示中而创建的，该过程通过让多个主题执行而得以改进。；我们研究中使用的辩论来自一个应用领域，尤其是神学领域论证。出现的一个问题是得出的结论是否确实适用于其他领域，例如政治和商业。进行了一系列调查，比较了来自这些不同领域的论坛用户的期望。结果发现，期望在两个主要方面是不同的，但是在专业论坛之间仍然可以共享许多功能。本文，我们详细介绍了我们的实验和结论，解释了准备和进行调查和访谈的原理。实验证明，辩论技术之间的质量差异可以根据其最终目的进行量化。对三种线程模型进行了评估，以作为示例和测试概念的一种方式。这可以导致电子辩论体系结构的原则性和科学性的改进，这是计算机技术的重要应用。本论文的重点是分析和比较表示辩论所产生的知识的线程模型。包括Facebook和MySpace在内的在线网络为创建朋友圈提供了一种简便的方法。但是，尚未从如何改进团队决策的角度研究它们。分散的社交网络中可能会出现大量数据和垃圾邮件，这对辩论用户界面提出了挑战。出现的问题是科学地确定辩论系统中提出的辩论机制如何真正提供提议的增强。我们的解决方案可以扩展为解决许多此类问题。

著录项

  • 作者

    Alqahtani, Abdulrahman Saad.;

  • 作者单位

    Florida Institute of Technology.;

  • 授予单位 Florida Institute of Technology.;
  • 学科 Computer science.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 240 p.
  • 总页数 240
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农学（农艺学）;
  • 关键词

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