Automatic Generation of User Interaction Models

被引：2

作者：

Tirnauca, Cristina ^{[1
]}

Duque, Rafael ^{[1
]}

Luis Montana, Jose ^{[1
]}

机构：

[1] Univ Cantabria, Dept Matemat Estat & Comp, Santander, Spain

来源：

UBIQUITOUS COMPUTING AND AMBIENT INTELLIGENCE, UCAMI 2016, PT I | 2016年 / 10069卷

关键词：

Human computer-interaction; User modeling; Mobile interfaces; Weighted automaton; Clustering; FRAMEWORK;

D O I：

10.1007/978-3-319-48746-5_42

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A prominent requirement in the field of human-computer interaction is to make mobile applications more usable and better adjusted to their users' needs. In particular, designers of groupware applications face the task of developing software for many users while making it work as if it was designed for each single individual. User modeling research has attempted to address these issues. A precondition for achieving this task is to find predictive and generative models of the user interactions. In this paper we develop a methodology for modeling the user behavior when interacting with a computer system. The byproduct of this methodology is a low level representation of the user interactions in the form of weighted automata, which can be easily transformed into user profiles in text form. Profiles can then be used by the designer to configure and verify the task model of the system.

引用

页码：406 / 418

页数：13

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