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WEB Choice Aid (WEBCA): A research prototype for constructive choice in Web environments.

机译:WEB选择帮助(WEBCA):用于Web环境中建设性选择的研究原型。

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摘要

In this research, we develop and evaluate a prototype for a WEB Choice Aid (WEBCA) in order to help consumers make choices in web environments. In Chapter 1, we conduct a review of theoretical and empirical decision research and identify reasons why individuals often do not use formal decision theory. We argue that web-based information provides an unprecedented opportunity to make decision theory more practically useful and identify design objectives for an approach that realizes this opportunity. In Chapter 2, we review existing technology and find that none meets all of the identified design objectives. In Chapter 3, we propose the use of means-ends belief networks as a basis for representing consumer knowledge in WEBCA. Means-ends belief networks integrate means-ends theory which defines the semantic content of knowledge with belief network theory which defines the syntactic, probability-based rules for arranging and manipulating this knowledge. This integration reconciles constructive and normative decision paradigms and enables the development of functionality to facilitate consumer learning and decision-making within a seamlessly integrated process.; In Chapter 4, we conduct an empirical analysis of three extant learning methods and one new method which are used to automatically construct means-ends belief networks from actual web data. We identify practical issues in applying these methods and motivate the need for specified improvements. In Chapter 5, we describe the WEBCA prototype which provides a concrete implementation of the design described in Chapters 1 through 3 and which depends on the learning methods illustrated in Chapter 4. In Chapter 6, we conduct a preliminary assessment of WEBCA through interactive sessions with twenty-two participants. We identify usability issues and suggest how they might be resolved in order to more fully realize the design objectives. Overall, user perceptions of usefulness and ease-of-use are good and the results indicate that WEBCA helps individuals to develop product knowledge.
机译:在这项研究中,我们开发并评估了WEB选择帮助(WEBCA)的原型,以帮助消费者在Web环境中做出选择。在第1章中,我们对理论和经验决策研究进行了回顾,并指出了为什么人们经常不使用形式决策理论的原因。我们认为,基于Web的信息提供了前所未有的机会,可以使决策理论更加实用,并为实现这一机会的方法确定设计目标。在第2章中,我们回顾了现有技术,发现没有一项技术能够满足所有已确定的设计目标。在第3章中,我们建议使用均值端信念网络作为在WEBCA中表示消费者知识的基础。均值端信念网络将定义知识语义内容的均值端理论与定义了句法,基于概率的规则进行整理和操纵的信念网络理论相结合。这种整合调和了建设性和规范性的决策范式,并使功能的开发可以在无缝集成的过程中促进消费者的学习和决策。在第4章中,我们对三种现成的学习方法和一种新方法进行了实证分析,这些新方法用于根据实际Web数据自动构建均值-末端置信网络。我们在应用这些方法时发现了实际问题,并激发了对特定改进的需求。在第5章中,我们描述了WEBCA原型,该原型提供了第1章至第3章中描述的设计的具体实现,并且取决于第4章中说明的学习方法。在第6章中,我们通过与22名参与者。我们确定可用性问题并建议如何解决这些问题,以便更充分地实现设计目标。总体而言,用户对有用性和易用性的感觉良好,结果表明WEBCA可帮助个人发展产品知识。

著录项

  • 作者

    Donalds, Kelley Elizabeth.;

  • 作者单位

    The University of Connecticut.;

  • 授予单位 The University of Connecticut.;
  • 学科 Business Administration General.
  • 学位 Ph.D.
  • 年度 2004
  • 页码 393 p.
  • 总页数 393
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 贸易经济;
  • 关键词

  • 入库时间 2022-08-17 11:43:41

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