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    Quantitative results assessing design issues of selection-supportive menus

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    As a list of menu items becomes longer, users have increasing difficulty finding the desired item. Researchers have noticed that some menu items are selected more frequently than others, and have suggested various kinds of adaptive menus that support the selection of these high-frequency items. In this paper, we investigate existing selectionsupportive menus and find that they support the selection of high-frequency items by providing them with either spatial or spatio-temporal priority. For example, split menus (ACM Trans. Comput. Human Interaction 1 (1994) 27-51) offer spatial priority and the menus of Microsoft Office 2000 provides both spatial and temporal priority. This finding leads us to define a new type of adaptive menu that provides only temporal priority, where only high-frequency items are displayed at first. A controlled experiment was performed to assess the issues involved in the design of adaptive menus. The results revealed that each type of adaptive menu has both strengths and weaknesses. Spatial prioritization significantly decreases the selection time of high-frequency items if the variations in selection frequency are small; however, if the selection frequency distribution changes greatly, then the mean selection time rapidly deteriorates. In comparison, temporal selection- support is less effective at reducing selection time for high-frequency items, but is more robust due to its insensitivity to variations in selection frequency. Based on experimental data, quantitative criteria are provided to assist designers when deciding which type of menu to use

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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