Title
User Interaction Modeling and Profile Extraction in Interactive Systems: A Groupware Application Case Study.
Abstract
A relevant goal in human-computer interaction is to produce applications that are easy to use and well-adjusted to their users' needs. To address this problem it is important to know how users interact with the system. This work constitutes a methodological contribution capable of identifying the context of use in which users perform interactions with a groupware application (synchronous or asynchronous) and provides, using machine learning techniques, generative models of how users behave. Additionally, these models are transformed into a text that describes in natural language the main characteristics of the interaction of the users with the system.
Year
DOI
Venue
2017
10.3390/s17071669
SENSORS
Keywords
Field
DocType
human-computer interaction,user modeling,mobile interfaces,weighted automaton,clustering
Asynchronous communication,Know-how,Computer science,Collaborative software,Human–computer interaction,Natural language,User modeling,Generative grammar,Cluster analysis,Multimedia,Interactive systems engineering
Journal
Volume
Issue
ISSN
17
7.0
1424-8220
Citations 
PageRank 
References 
0
0.34
12
Authors
3
Name
Order
Citations
PageRank
Cristina Tîrnauca1123.26
Rafael Duque28611.51
Josè L. Montaña38215.50