Abstract
Abstract. Focus+Glue+Context map system EMMA (Elastic Mobile Map) is composed of the areas of expanded detail (Focus), peripheral areas (Context), and areas that absorb the distortion between the Focus and the Context areas (Glue). The existing EMMA implementation has the drawback that road-network connections cannot be correctly drawn when multiple Focuses overlap. This paper proposes the following methods for nearby Focuses to naturally unite like water drops uniting by surface tension: 1) Focus Transformation method enables Focuses to transform in a squeezed manner to avoid overlapping. 2) Focus Union method enables overlapping Focuses to unite into a single Focus with a large Focus area. 3) Union Focus Transformation method enables a Union Focus to transform along a moving mouse pointer, enabling users to easily view map areas near the Union Focus. 4) Focus Division method enables Union Focuses to divide so that they can be operated as individual Focuses. Moreover, we have had subjects examine the experiment for testing the prototype system. Compared with the existing EMMA implementation, the proposed system required fewer operations and less time. According to the result of the questionnaires, the subjects could recognize road connections and follow the focused areas with their eyes more easily on the prototype system than on existing EMMA.
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Mizutani, H., Yamamoto, D., Takahashi, N. (2012). A Fusion of Multiple Focuses on a Focus+Glue+Context Map. In: Watanabe, T., Watada, J., Takahashi, N., Howlett, R., Jain, L. (eds) Intelligent Interactive Multimedia: Systems and Services. Smart Innovation, Systems and Technologies, vol 14. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29934-6_2
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DOI: https://doi.org/10.1007/978-3-642-29934-6_2
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