Transformer: a database-driven approach to generating forms for constrained interaction
Transformer: a database-driven approach to generating forms for constrained interaction
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Transformer：一种数据库驱动的方法，用于生成约束交互的表单
DOI：
10.1145/3301275.3302269
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Arnab Nandi
中科院分区：
文献类型：
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作者：
Protiva Rahman;Arnab Nandi
基于表单的数据插入或查询通常是数据驱动工作流中最耗时的步骤之一。智能手机和智能手表等设备中的小屏幕和缺乏物理键盘在用户输入期间引入了不精确性。这可能导致数据质量问题，例如不完整的响应和错误，增加用户输入时间。我们提出了Transformer，一个利用数据库的内容来自动优化表单的约束输入设置的系统。我们的成本函数模型的模式和数据分布的基础上，用户输入的努力。Transformer使用它来查找用户界面（UI）小部件和布局，使每个表单字段具有理想的输入成本。我们通过用户研究证明，Transformer提供了显着改善的用户体验，智能手机和智能手表的表单完成时间分别减少了50%和57%。
Form-based data insertion or querying is often one of the most time-consuming steps in data-driven workflows. The small screen and lack of physical keyboard in devices such as smartphones and smartwatches introduce imprecision during user input. This can lead to data quality issues such as incomplete responses and errors, increasing user input time. We present Transformer, a system that leverages the contents of the database to automatically optimize forms for constrained input settings. Our cost function models the user input effort based on the schema and data distribution. This is used by Transformer to find the user interface (UI) widget and layout with ideal input cost for each form field. We demonstrate through user studies that Transformer provides a significantly improved user experience, with up to 50% and 57% reduction in form completion time for smartphones and smartwatches respectively.
MenuOptimizer：菜单系统的交互优化
DOI：
10.1145/2501988.2502024
发表时间：
2013
期刊：
Proceedings of the 26th annual ACM symposium on User interface software and technology
影响因子：
--
作者：
G. Bailly;A. Oulasvirta;T. Kötzing;S. Hoppe
通讯作者：
S. Hoppe