Brian S. Zaff, Michael D. McNeese, Daniel E. Snyder
{"title":"Capturing multiple perspectives: a user-centered approach to knowledge and design acquisition","authors":"Brian S. Zaff, Michael D. McNeese, Daniel E. Snyder","doi":"10.1006/knac.1993.1003","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":100857,"journal":{"name":"Knowledge Acquisition","volume":"5 1","pages":"Pages 79-116"},"PeriodicalIF":0.0000,"publicationDate":"1993-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1006/knac.1993.1003","citationCount":"64","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Knowledge Acquisition","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1042814383710034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 64
Abstract
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.