发明名称 Adaptive User Interfaces
摘要 According to various embodiments, user performance and/or motivation for a computing system may be maximized by optimizing one or more target components of a user interface of the computing system. The target components may be aspects of the user interface that is perceived by the user. One or more input features and one or more output features may be identified, and data regarding these input and output features may be gathered. This data may be compared with the results generated by a set of candidate artificial intelligence algorithms to determine which of them provides the best fit with the data collected. Then, the selected artificial intelligence algorithm may be applied to the user interface to iteratively change the target components over time until the optimal settings for each user are discovered.
申请公布号 US2014372344(A1) 申请公布日期 2014.12.18
申请号 US201414277316 申请日期 2014.05.14
申请人 InsideSales.com, Inc. 发明人 Morris Richard Glenn;Zeng Xinchuan;Elkington David Randal
分类号 G06N99/00 主分类号 G06N99/00
代理机构 代理人
主权项 1. A computer-implemented method for optimizing a user interface of a computing system using artificial intelligence, comprising: at a processor, identifying a first target component of the user interface, wherein the first target component is perceptible to a user via an output device; at the processor, identifying at least one first output feature representing a measured indicator relating to the user; at the processor, identifying at least one first input feature comprising at least one of: a first measured aspect descriptive of the user; anda first measured aspect descriptive of the user's interaction with the computing system; at the processor, collecting data comprising a plurality of input measurements of the first input feature and a plurality of output measurements of the first output feature; at the processor, selecting a first selected artificial intelligence algorithm to maximize the first output feature for the user, based on comparison of the plurality of input measurements and the plurality of output measurements with a plurality of candidate artificial intelligence algorithms; and at the processor, applying the first selected artificial intelligence algorithm to maximize the first output feature for the user by changing the first target component.
地址 Provo UT US