A Framework to Bridge Teachers, Student’s Affective State, and Improve Academic Performance
Abstract: Some of the biggest problems tackling Higher Education Institutions (HEI) are student’s drop-out and academic disengagement. Physical or psychological disabilities, social-economic or academic marginalization, and emotional and affective problems, are some of the factors that can lead to it. This problematic is worsened by the shortage of educational resources that can bridge the communication gap […]
Automatic assessment of communication skill in non-conventional interview settings: a comparative study
Abstract: Effective communication is an important social skill that facilitates us to interpret and connect with people around us and is of utmost importance in employment based interviews. This paper presents a methodical study and automatic measurement of communication skill of candidates in different modes of behavioural interviews. It demonstrates a comparative analysis of non-conventional […]
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 […]
Consumer Evaluation of Hotel Service Robots
Abstract: In light of the trend in integrating artificial intelligence and robotics into tourism and hospitality operations, it is important to understand consumer responses to hotel service robots. Two studies were conducted to achieve this objective: an online survey and a laboratory experiment using measurements of automatic emotional reactions via biosensors. Responses to two types […]
Enhancing Exercise Experience with Individual Multi-Emotion Provoking Game Elements
Abstract: In this work we present a new affective game design method that includes multi-emotion provoking and continuous game elements. Evaluated with our physical cycling exergaming system it extends our previously designed single emotion game scene approach. In addition we introduce new entertaining content that includes game elements to provoke both physical and mental stress as […]
Emotional Journey for an Emotion Provoking Cycling Exergame
Abstract: In this work we present a novel concept for affective entertainment, which we call Emotional Journey. It provides a dynamic and adaptive story path based on a player’s emotional responses and yields improved accurate recognition of the player’s emotions. We conducted a case study with 25 players to evaluate our concept using our cycling […]
Identifying correlation between facial expression and heart rate and skin conductance with iMotions biometric platform
Abstract: Emotional reactions are stimulated when humans are presented with a stimulus, triggering a series of voluntary and involuntary responses. Human emotions can be measured from facial expressions and physiological processes. The iMotions biometric platform can detect and analyze the responses of different individuals, which are personalized. The iMotions software allows for the quantification of seven […]
Reducing Brain Signal Noise in the Prediction of Economic Choices: A Case Study in Neuroeconomics
Abstract: In order to reduce the noise of brain signals, neuroeconomic experiments typically aggregate data from hundreds of trials collected from a few individuals. This contrasts with the principle of simple and controlled designs in experimental and behavioral economics. We use a frequency domain variant of the stationary subspace analysis (SSA) technique, denoted as DSSA, […]
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 […]
Learning Pain from Action Unit Combinations: A Weakly Supervised Approach via Multiple Instance Learning
Abstract: Facial pain expression is an important modality for assessing pain, especially when a patient’s verbal ability to communicate is impaired. A set of eight facial muscle-based action units (AUs), which are defined by the Facial Action Coding System (FACS), have been widely studied and are highly reliable means for detecting pain through facial expressions. […]
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