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A survey of technologies on the rise for emotion-enhanced interaction
Abstract: Emotions are a major part of the human existence and social interactions. Some might say that emotions are one of the aspects that make us truly human. However, while we express emotions in various life settings, the world of computing seems to struggle with supporting and incorporating the emotional dimension. In the last decades, […]
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Investigation of Facial Micro-expressions of Emotions in Psychopathy – A Case Study of an Individual in Detention
Abstract: This paper explores the relationship between emotional triggers and various types of (positive / negative) facially displayed emotions by a subject from custody, diagnosed with psychopathy. In this case study, FME were manually measured by using the Facial Action Coding System (FACS, Ekman, Friesen, Hager, 2002), which taxonomies human facial movements by their appearance. […]
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Transdermal neuromodulation of noradrenergic activity suppresses psychophysiological and biochemical stress responses in humans
Abstract: We engineered a transdermal neuromodulation approach that targets peripheral (cranial and spinal) nerves and utilizes their afferent pathways as signaling conduits to influence brain function. We investigated the effects of this transdermal electrical neurosignaling (TEN) method on sympathetic physiology under different experimental conditions. The TEN method involved delivering high-frequency pulsed electrical currents to ophthalmic […]
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Differential emotion attribution to neutral faces of own and other races
Abstract: Past research has demonstrated differential recognition of emotion on faces of different races. This paper reports the first study to explore differential emotion attribution to neutral faces of different races. Chinese and Caucasian adults viewed a series of Chinese and Caucasian neutral faces and judged their outward facial expression: neutral, positive, or negative. The […]
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Anticipatory Gaze Shifts during Navigation in a Naturalistic Virtual Environment
Abstract: In the real world, coupled eye and head movements are used by humans and other animals to orient their gaze toward objects or scenes of interest. In virtual environments a mouse is often used as a proxy for head movements, orienting the camera towards a desired view direction. The mouse also controls body direction […]
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Multimodal Validation of Facial Expression Detection Software for Real-time Monitoring of Affect in Patients with Suicidal Intent
Abstract: Facial expression is an independent and objective marker of affect. Basic emotions (fear, sadness, joy, anger, disgust and surprise) have been shown to be universal across human cultures. Techniques such as the Facial Action Coding System can capture emotion with good reliability. Such techniques visually process the changes in different assemblies of facial muscles that produce […]
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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 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 […]
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Exploring the influence of audio in directing visual attention during dynamic content
Abstract: The mechanisms underlying the allocation of visual attention toward dynamic content are still largely unexplored. Due to the number of variables present during dynamic content, it is often difficult to confidently determine what components direct visual attention. In this study, we manipulated the presence of audio in an attempt to explore the contribution of […]
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Dynamic Data Driven Operator Error Early Warning System
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. […]
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Emergency, Automation Off: Unstructured Transition Timing for Distracted Drivers of Automated Vehicles
Abstract: In future automated driving systems, drivers will be free to perform other secondary tasks, not needing to stay vigilant in monitoring the car’s activity. However, there will still be situations in which drivers are required to take-over control of the vehicle, most likely from a highly distracted state. While highly automated vehicles would ideally […]
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