Enhancing the i* Language with Perceptual Integration

碩士 === 長庚大學 === 商管專業學院碩士學位學程在職專班資訊管理組 === 101 === Most of the conceptual modeling languages represent the reality in a graphical manner. Also, the i* language used to express the requirements for information systems to be analyzed is also graphical. However, the current literature has not evaluated...

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Bibliographic Details
Main Authors: Wei Min Yang, 楊偉民
Other Authors: G. Y. Liao
Format: Others
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/69936553624138539915
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Summary:碩士 === 長庚大學 === 商管專業學院碩士學位學程在職專班資訊管理組 === 101 === Most of the conceptual modeling languages represent the reality in a graphical manner. Also, the i* language used to express the requirements for information systems to be analyzed is also graphical. However, the current literature has not evaluated the effectiveness of visual representations in the language. This study aims at perceptual integration of conceptual modeling languages. According to Moody, increased complexity in a modeled domain may affect the understanding of i* dependency relationships. Current literature also proposes that spatial knowledge structure should include three dimensions including landmarks, route, survey knowledge. For the purpose of enhancing visual perception regarding spatial knowledge, this study designs visual notations to achieve perceptual integration. We expect the design can increase the cognitive effectiveness of i* users. This study conducted an experiment to compare three notation designs. The first design is "multi- diagram + perceptual prompt Integration," proposed in this study. The second design is the original i* notation ("single diagram") and the third design is the Moody’s method called "multi-diagram." We evaluated the three designs for i* to find out whether cognitive effectiveness would be affected by notation design and whether an interaction effect would exist between notation design and task type. Our results confirmed the cognitive effectiveness can be enhanced with the proposed "multi- diagram + perceptual prompt Integration" design. Hopefully, the findings would offer some guidelines for future studies.