Users are increasingly dependent on mobile devices. However, current authentication methods like password entry are significantly more frustrating and difficult to perform on these devices, leading users to create and reuse shorter passwords and pins, or no authentication at all. We present implicit authentication authenticating users based on behavior patterns. We describe our model for perfor...

Purpose – The purpose of this paper is to propose and verify that the technology acceptance model (TAM) can be employed to explain and predict the acceptance of mobile learning (M-learning); an activity in which users access learning material with their mobile devices. The study identifies two factors that account for individual differences, i.e. perceived enjoyment (PE) and perceived mobility ...

This tutorial aims at outlining fundamental methods for studying categorical sequences on the Web. Categorical sequences can refer to any kind of transitional data between a set of states, for example human navigation (transitions) between Web sites (states). Presented methods focus on sequential pattern mining, modeling and inference aiming at better understanding the production of sequences. ...

This paper presents an analysis of the user behavior of two different domain-specific repositories. The web analytic tool etracker was used to gain a first overall insight into the user behavior of these repositories. Moreover, we extended our work to describe an apache web log analysis approach which focuses on the identification of the user behavior. Therefore the user traffic within our syst...

Friday, October 16, 2015, 2-4pm Social Science Research Commons Grand Hall Woodburn Hall 200 Topic modeling algorithms analyze a document collection to estimate its latent thematic structure. However, many collections contain an additional type of data: how people use the documents. For example, readers click on articles in a newspaper website, scientists place articles in their personal librar...

Traffic generation in mobile networks is heavily dependent on user behavior because the users move around with their terminals. For example, at a special event such as a fireworks display or football game, the people will congregate in a specific place and may try to make calls, generating unpredictable excessive traffic, leading to network congestion. When the users cannot get through due to c...

Web usage mining is about analyzing the user interactions with a web server based on resources like web logs, click streams and database transactions. It helps in discovering the browsing patterns of the user and in relating the pages visited by him. This knowledge can be of help in making business decisions, refining the web site design to derive personalized pages. Web usage mining uses the d...

In this article we update and extend on earlier long-term studies on user’s page revisit behavior. Revisits are very common in web navigation, but not as predominant as reported in earlier studies. Backtracking is the most common type of page revisitation and is both used for finding new information and relocating information visited before. Search engines are mainly used for finding new inform...

Games increasingly use input devices – such as Kinect, Leap, and Move – that map the location of the player’s body into a virtual space. Designers are often faced with two options: an intuitive, direct mapping that is initially easier to learn but not suited for all tasks, or an advanced mapping that is better suited to carrying out tasks but harder to learn. In this paper we propose a method f...

The simulation of computer systems requires representative, reliable workload models. When simulating computer systems or components that are influenced by user behavior, this very behavior has to be modeled by using mathematical means. In this article, we propose a user behavior model framework that is constructed in a top down manner, consisting of various layers. Layers offer services to the...