获取多个视角:以用户为中心的知识和设计获取方法

Brian S. Zaff, Michael D. McNeese, Daniel E. Snyder
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引用次数: 64

摘要

知识获取方面的许多努力都是从知识工程师的角度设计的,因此无法让专家成功地阐述他们自己的知识。知识工程方法通常不是以用户为中心的,因此往往是系统开发瓶颈的原因。本文描述并评估了高级知识和设计获取方法(AKADAM)项目,该项目试图通过提供以用户为中心的知识获取技术来克服这些不足。研究了理论问题和实践问题。通过将AKADAM应用于复杂的现实世界领域(即战斗机飞行员电子助理的开发),描述了多个视角(即“知识作为规则”、“知识作为概念”和“知识作为设计”)的作用、它们与以用户为中心的方法的关系以及灵活的知识集成的必要性。结果表明,这种方法能够提供:(a)用户认可的自然主义知识启发环境,(b)以类似于他们自己的心理表征的形式将专家的直觉知识外化,以及(c)适合将知识注入人工智能架构和人机界面设计的集成、大规模知识集。
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Capturing multiple perspectives: a user-centered approach to knowledge and design acquisition

Many efforts in knowledge acquisition are designed from a knowledge engineer's perspective and as a consequence fall short of allowing experts to elaborate successfully their own situated knowledge. Knowledge engineering approaches are typically not user-centered and consequently are often the cause of a bottleneck in system development. This paper describes and evaluates the Advanced Knowledge And Design Acquisition Methodology (AKADAM) project as an attempt to overcome such inadequacies by provision of user-centered knowledge acquisition techniques. Both theoretical and practical issues are examined. The role of multiple perspectives (i.e. "knowledge as rules", "knowledge as concepts", and "knowledge as designs"), their relationship to a user-centered approach, and the necessity of flexible knowledge integration are portrayed by applying AKADAM to a complex, real-world domain (i.e. the development of an electronic associate for fighter pilots). Results suggest that this approach is capable of providing: (a) a naturalistic knowledge elicitation environment endorsed by users, (b) an externalization of experts' intuitive knowledge in a form which is similar to their own mental representation and (c) an integrated, large-scale knowledge set suitable for infusing knowledge into AI architectures and human-computer interface design.

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