Publications

Abstract: We have developed a neuromodulation approach that targets peripheral nerves and utilizes their afferents as signaling conduits to influence brain function. We investigated the effects of this transdermal electrical neurosignaling (TEN) approach on physiological responses to acute stress induction. TEN was targeted to the ophthalmic and maxillary divisions of the right trigeminal nerve and […]

Abstract: Mitigating human errors is a priority in the design of complex systems, especially through the use of body area networks. This paper describes early developments of a dynamic data driven platform to predict operator error and trigger appropriate intervention before the error happens. Using a two-stage process, data was collected using several sensors (e.g., […]

Abstract: We present initial results from a project, in which we examined feasibility of inferring web page relevance from eye-tracking data. We conduced a controlled, lab-based Web search experiment, in which participants conducted assigned information search tasks on Wikipedia. We performed analyses of variance as well as employed classification algorithms in order to predict user […]

Abstract: Affect detection is a key component in developing intelligent educational interfaces that are capable of responding to the affective needs of students. In this paper, computer vision and machine learning techniques were used to detect students’ affect as they used an educational game designed to teach fundamental principles of Newtonian physics. Data were collected […]

Abstract: Investigating how visuals affect test takers’ performance on video-based L2 listening tests has been the focus of many recent studies. While most existing research has been based on test scores and self-reported verbal data, few studies have examined test takers’ viewing behavior (Ockey, 2007; Wagner, 2007, 2010a). To address this gap, in the present […]

Present study on cognitive workload in driving focuses on reduction of workload for better driving performance. In this paper, we talk about the cognitive load in drivers of autonomous cars and their performance under multiple cognitive loads. Our previous studies have indicated that low to no workload is likely to induce drowsiness in drivers of […]

Abstract: A review of research studies on the integration of wiki into curriculum indicates the necessity of establishing wiki design principles in order to capitalize on the learning opportunity wiki technology offers. Utilising eye tracking technology, this study explores wiki design principles by examining students’ reading patterns when they study a learning topic presented in […]

Abstract: Buying behaviour theory goes back to the start of the 50’s and over the years different models have been developed influenced by different sociological views and trends. In the age of digitalization and e-commerce these theories seem to be less useful and need revision. In the early days of the Web, research argues for […]

Abstract: It is well known that engineering is considered one of the more demanding fields of study to embark on. In mechanical engineering, courses such as thermodynamics, statics, mechanics of materials and others are perceived as challenging by students. Several factors impact students’ ability to solve problems presented in these courses, including the ability to […]

ABSTRACT: Features, or visible product attributes, are indispensable product components that influence customer evaluations of functionality, usability, symbolic impressions, and other qualities. Two basic components of features are visual appearance and size. This work tests whether or not eye-tracking data can (1) predict the relative importances between features, with respect to their visual design, in […]