Abstract: The self-control literature suggests two main short-run models with contradictory predictions. By perceiving self-control as a knowledge or perishable resource, those models report a positive and negative impact, respectively, of an initial self-control act on subsequent self-control ability. Using biometric data to monitor compliance enabled us to develop a unified self-control model, reconciling the […]

Abstract: While labor issues and quality assurance in crowdwork are increasingly studied, how annotators make sense of texts and how they are personally impacted by doing so are not. We study these questions via a narrative-sorting annotation task, where carefully selected (by sequentiality, topic, emotional content, and length) collections of tweets serve as examples of […]

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 […]

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, […]

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 […]

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 […]

Abstract: Affective support can play a central role in adaptive learning environments. Although virtual human tutors hold significant promise for providing affective support, a key open question is how a tutor’s facial expressions can influence learners’ performance. In this paper, we report on a study to examine the influence of a human tutor agent’s facial […]

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 […]

Objective: To test usability and optimize the Janssen Autism Knowledge Engine (JAKE®) system’s components, biosensors, and procedures used for objective measurement of core and associated symptoms of autism spectrum disorder (ASD) in clinical trials. Methods: A prospective, observational study of 29 children and adolescents with ASD using the JAKE system was conducted at three sites in the […]

Abstract: The current study aims to measure the goal orientations motivation in different scenes of a video-game. The evaluation of player experience was done with both subjective measures through questionnaire and objective measures through brain wave activity (electroencephalography – EEG). We used GameFlow questionnaire to characterize the player’s mastery goal in playing video game (Master […]