In their search for generalizable behavioral patterns and design principles, cognitive field researchers should reflect on the epistemological limitations of empirical studies. In this paper we describe a framework for epistemological analysis that can help serve this purpose and discuss its application to two prototypical cases of cognitive engineering research: laboratory experiments and fiel...

This paper analyzes different Android malware detection techniques from several research papers, some of these techniques are novel while others bring a new perspective to the research work done in the past. The techniques are of various kinds ranging from detection using host based frameworks and static analysis of executable to feature extraction and behavioral patterns. Each paper is reviewe...

In recent years, activity recognition in smart homes is an active research area due to its applicability in many applications, such as assistive living and healthcare. Besides activity recognition, the information collected from smart homes has great potential for other application domains like lifestyle analysis, security and surveillance, and interaction monitoring. Therefore, discovery of us...

Although exemplar models of category learning have been successfully applied to a wide range of classification problems, such models have only rarely been tested on their ability to deal with vertical category learning, that is, cases where the same stimuli may be classified at multiple levels of abstraction. We report an experiment in which participants learned to classify artificial stimuli a...

Contemporary applications must respond to many types of events, ranging from user interface notifications to network messages. Delay-sensitive applications, such as network management systems, often perform long-runningoperations asynchronously to avoid blocking the processing of other pending events. When these asynchronous operations complete, applications may need more information than simpl...

Advances in information technology allow for remote working, leading to suggestions that remote individuals can operate in virtual instead of face-toface teams. This paper considers the continuation of face-to-face communication in a European group of stock traders, despite the capabilities of information technology to individuate the work. The case illustrates that traders prefer and need to w...

This paper presents a novel method of utilizing observed history for detecting abnormal behaviors in surveillance applications. An unsupervised algorithm is proposed to detect abnormal behaviors and re-train itself in real-time. Motion vectors of objects are estimated using the optical flow method. Encoded feature vectors are stored in an observation matrix, abnormal behaviors can be detected b...

The rise of social media has led to an explosion in the number of possible sites users can join. However, this same profusion of social media sites has made it nearly impossible for users to actively engage in all of them simultaneously. Accordingly, users must make choices about which sites to use or to neglect. In this paper, we study users that have joined multiple sites. We study how indivi...

In-depth exploring of users’ actual behavioral patterns in e-Learning systems will be able to find out the limitations during their teaching/learning process and provide a good reference for intelligent system to provide auxiliaries to the process instantly. Instructional design (ID) is an important and highly complex behavior in the realm of teaching. This research adopted the sequential analy...

Workaholism refers to the uncontrollable need to work and comprises working compulsively (WC) and working excessively (WE). Compulsive Internet Use (CIU), involves a similar behavioural pattern although in specific relation to Internet use. Since many occupations rely upon use of the Internet, and the lines between home and the workplace have become increasingly blurred, a self-reinforcing patt...