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FaceSync: Open ​source ​​framework ​​for ​recording facial ​expressions with ​head-mounted ​cameras
Abstract:Â Advances in computer vision and machine learning algorithms have enabled researchers to extract facial expression data from face video recordings with greater ease and speed than standard manual coding methods, which has led to a dramatic increase in the pace of facial expression research. However, there are many limitations in recording facial expressions in laboratory […] -
Basic Emotion Recogniton using Automatic Facial Expression Analysis Software
Abstract: Facial expression was proven to show a person’s emotions, including 6 basic human emotions, namely happy, sad, surprise, disgusted, angry, and fear. Currently, the recognition of basic emotions is applied using the automatic facial expression analysis software. In fact, not all emotions are performed with the same expressions. This study aims to analyze whether […] -
Predicting Learners’ Performance Using EEG and Eye Tracking Features
Abstract: In this paper, we aim to predict students’ learning performance by combining two-modality sensing variables, namely eye tracking that monitors learners’ eye movements and electroencephalography (EEG) that measures learners’ cerebral activity. Our long-term goal is to use both data to provide appropriate adaptive assistance for students to enhance their learning experience and optimize their […] -
Mitigating passive fatigue during monotonous drives with thermal stimuli: Insights into the effect of different stimulation durations
Abstract: Driving on monotonous roads has been shown to cause passive fatigue as even non-sleep-deprived drivers suffer from the lack of stimuli. Consequently, alertness is reduced and the risk of accidents increases. To counteract this risk, measures need to be taken to mitigate driver fatigue. While in the past, some studies have been focused on […] -
Investigating the Relationship Between Mental State (Workload and Affect) and Physiology in a Control Room Setting (Ship Bridge Simulator)
Abstract: This paper discusses how to investigate the human element in a control room setting in terms of situational settings (monitoring and active control) and mental state (workload and affect). We show an explorative experiment in a ship bridge simulator context to investigate measurement practices and uncover correlations between mental state and changes in physiology. […] -
An Approach to Analyze User’s Emotion in HCI Experiments Using Psychophysiological Measures
Abstract: Emotional experiences have aroused HCI researchers’ interest once these types of experience involve many parts of our body, such as muscles, body postures, and psychophysiological measures. Hedonic experiences give us pleasure and good emotions, and this paper focuses on it. Some psychophysiological measures have already been correlated with both valence and arousal, the main […] -
Adding immersive virtual reality to a science lab simulation causes more presence but less learning
Abstract: Virtual reality (VR) is predicted to create a paradigm shift in education and training, but there is little empirical evidence of its educational value. The main objectives of this study were to determine the consequences of adding immersive VR to virtual learning simulations, and to investigate whether the principles of multimedia learning generalize to […] -
Improving Driver Emotions with Affective Strategies
Abstract: Drivers in negative emotional states, such as anger or sadness, are prone to perform bad at driving, decreasing overall road safety for all road users. Recent advances in affective computing, however, allow for the detection of such states and give us tools to tackle the connected problems within automotive user interfaces. We see potential […] -
Measuring Learning During Search: Differences in Interactions, Eye-Gaze, and Semantic Similarity to Expert Knowledge
Abstract: We investigate the relationship between search behavior, eye – tracking measures, and learning. We conducted a user study where 30 participants performed searches on the web. We measured their verbal knowledge before and after each task in a content-independent manner, by assessing the semantic similarity of their entries to expert vocabulary. We hypothesize that […] -
How does navigation system behavior influence human behavior?
Abstract: Navigation systems are ubiquitous tools to assist wayfinders of the mobile information society with various navigational tasks. Whenever such systems assist with self-localization and path planning, they reduce human effort for navigating. Automated navigation assistance benefits navigation performance, but research seems to show that it negatively affects attention to environment properties, spatial knowledge acquisition, […]
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