This paper presents a method for analyzing users' computer mouse interaction data with the aim to implicitly identify task completion difficulty while interacting with a system. Computer mouse motion streams and users' ...

A Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) is a widely used security defense mechanism that is utilized by service providers to determine whether the entity interacting with their ...

During the last decade, the scientific community has witnessed an unprecedented deployment of large-scale, federated e-Infrastructures such as Grid Computing, primarily for supporting data-intensive scientific exploration ...

Developing a usable checkout process is pivotal for e-business success. However, recent research has shown that users frequently abandon their shopping carts and lacking a clear direction through the process. In this ...

This paper focuses on modeling users' cognitive style based on a set of Web usage mining techniques on navigation patterns and clickstream data. Main aim is to investigate whether k-means clustering can group users of ...

The increased demand of Web services and diverse characteristics of users have resulted in a plethora of applications that aim to provide personalized services based on the heterogeneous needs and preferences of users. ...

This paper focuses on adapting Web environments based on cognitive factors of users. In particular, a semantic Web-based adaptation framework is proposed that enables authors to enrich Web content with semantic markups, ...

Recent research provides evidence that individual differences in human cognitive styles affect user performance and experience in diverse application domains. However, state-of-The-Art elicitation methods of cognitive ...