Method of Graphical User Interface Adaptation Using Reinforcement Learning and Automated Testing

被引：0

作者：

Fyodorov, Victor ^{[1
]}

Karsakov, Andrey ^{[1
]}

机构：

[1] ITMO Univ, Natl Ctr Cognit Res, St Petersburg, Russia

来源：

2021 5TH INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND INFORMATION RETRIEVAL, NLPIR 2021 | 2021年

关键词：

Graphical user interface; adaptation; machine learning; abstract user; user workflow;

D O I：

10.1145/3508230.3508255

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Graphical user interface adaptation becomes an increasingly time-consuming and resource-intensive task due to modern programs complexity and a big variety of information output devices. In this paper we propose a method for adapting a graphical user interface based on a person's workflow using a specific implementation of the interface. This method makes it possible to adapt the interface to the peculiarities of the user's workflow through optimization in the navigation area between program windows.

引用

页码：163 / 167

页数：5