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Differences in eye-tracking measures between visits and revisits to relevant and irrelevant Web pages
Abstract: This short paper presents initial results from a project, in which we investigated differences in how users view relevant and irrelevant Web pages on their visits and revisits. The usersâ viewing of Web pages was characterized by eye-tracking measures, with a particular attention paid to changes in pupil size. The data was collected in […] -
Understanding The Utilization Of Information Stimuli in Design Decision Making Using Eye Gaze Data
Abstract:Â Research on decision making in engineering design has focused primarily on how to make decisions using normative models given certain information. However, there exists a research gap on how diverse information stimuli are combined by designers in decision making. In this paper, we address the following question: how do designers weigh different information stimuli to […] -
Products Shared Visual Features Do Not Cancel in Consumer Decisions
Abstract: Consumersâ product purchase decisions typically involve comparing competing productsâ visual features and functional attributes. Companies strive for âproduct differentiationâ [1-5], which makes consumersâ product comparisons fruitful but also sometimes challenging. Psychologists that study decision-making have created models of choice such as the cancellation-and-focus (C&F) model. C & Fexplains and predicts how people decide between choice […] -
Suppression of human psychophysiological and biochemical stress responses using high-frequency pulse-modulated transdermal electrical neurosignaling
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 […] -
Dynamic Data Driven Approach for Modeling Human Error
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., […] -
Towards Inferring Web Page Relevance â An Eye-Tracking Study
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 […] -
Automatic Detection of Learning-Centered Affective States in the Wild
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 studentsâ affect as they used an educational game designed to teach fundamental principles of Newtonian physics. Data were collected […] -
The use of eye tracking in research on video-based second language (L2) listening assessment: A comparison of context videos and content videos
Abstract: Investigating how visuals affect test takersâ 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 takersâ viewing behavior (Ockey, 2007; Wagner, 2007, 2010a). To address this gap, in the present […] -
Effect of cognitive load in autonomous vehicles on driver performance during transfer of control
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 […] -
Establishing wiki design principles to advance wiki-based learning: an eye tracking study
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 studentsâ reading patterns when they study a learning topic presented in […]
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