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Biomedical signals can be used to diagnose several affections of the human body. Nonetheless, they can also be used to describe a more general behavior of specific organs and how they respond according to the feelings and emotions of a person. ...

Emotion recognition using multi-modal physiological signals is an emerging field in affective computing that significantly improves performance compared to unimodal approaches. The combination of Electroencephalogram(EEG) and Galvanic Skin Response(GSR) ...

Many Virtual Reality (VR) experiences, such as learning tools, would benefit from utilising mental states such as cognitive load. Increases in cognitive load (CL) are often reflected in the alteration of physiological responses, such as pupil dilation (...

Being confronted with a dulling perception and challenges to be creative when working at home, I imagined my home office to sense my state of arousal and search together with me for inspirational moments by infusing its familiar appearance with ...

Cued Recall Debriefing (CRD) is a form of retrospective think aloud approach. It involves re-immersing users to a level where emotional responses are comparable to those experienced during actual interaction with a system. To validate whether the ...

Automated journalism technology is transforming news production and changing how audiences perceive the news. As automated text-generation models advance, it is important to understand how readers perceive human-written and machine-generated content. ...

Emotion reacts human beings' physiological and psychological status. Galvanic Skin Response (GSR) can reveal the electrical characteristics of human skin and is widely used to recognize the presence of emotion. In this work, we propose an emotion ...

Self-Interfaces are interfaces that intuitively communicate relevant subconscious physiological signals through biofeedback to give the user insight into their behavior and assist them in creating behavior change. The human heartbeat is a good example ...

The term cognitive load refers to the used amount of working memory resources whenever we are performing any cognitive work. Though various physiological signals had used already to measure this, researchers' attention presently has turned to galvanic ...

Trust in automation is an essential precursor to system adoption and use. Given the emerging wave of autonomous systems available for public consumption and the resources devoted to this trend, it's important to understand trust, and how to measure it. ...

Road accidents are a worldwide problem, consequences of which can lead to death. One of the reasons drivers experience near-miss or real accidents is because of drowsy driving. Drowsy driving is considered as a major problem that not only affects the ...

Honking in traffic is an auditory warning to indicate: driver's actions, alert pedestrians and to convey an emergency situation requiring right of way. Though studies have shown the importance of honking in maintaining traffic flow, there have been ...

Touch Mood is a wearable technology project which obtains skin signals from subjects via GSR and an MLX90614 thermal camera. The system gives real-time feedback of the subjectâǍŹs emotional state via the embedded RGB LEDs and nitinol wire enabled ...

Electrodermal activity is one of the most studied psychophysiological markers of the functioning of the autonomic nervous system and it has been applied in psychophysiological research for over 100 years. However, electrodermal activity measurement has ...

Train Driver workload is an under-researched area. Operator workload has been extensively studied in the automotive, aeronautical and other domains using performance, subjective and physiological measures. In this exploratory study, we combine ...

Experiencing high cognitive load during complex and demanding tasks results in performance reduction, stress, and errors. However, these could be prevented by a system capable of constantly monitoring users’ cognitive load fluctuations and adjusting its ...

Emotions have an effect on developers' progress during software development tasks. The purpose of this position paper is to investigate the effects of emotional awareness, specifically type clarity, on developers' progress. A proposal for this ...

This paper investigates how reliable affective responses can be obtained using objective biometric measures for media audience research. We use Galvanic Skin Response (GSR) to detect sixteen respondents' arousal levels and as an objective measure to ...

Excitement or arousal is one of the main emotional dimensions that affects our lives on a daily basis. We win a tennis match, watch a great movie, get into an argument with a colleague—all of these are instances when most of us experience excitement, ...

On one hand, the fact that Galvanic Skin Response (GSR) is highly correlated with the user affective arousal provides the possibility to apply GSR in emotion detection. On the other hand, temporal correlation of real-time GSR and self-assessment of ...