Abstract: Understanding and modeling people’s behavior in social interactions is an important problem in Social Computing. In this work, we automatically predict the communication skill of a person in two kinds of interview-based social interactions namely interface-based (without an interviewer) and traditional face-to-face interviews. We investigate the differences in behavior perception and automatic prediction of […]

Abstract: Human face-to-face communication is a complex multimodal signal. We use words (language modality), gestures (vision modality) and changes in tone (acoustic modality) to convey our intentions. Humans easily process and understand faceto-face communication, however, comprehending this form of communication remains a significant challenge for Artificial Intelligence (AI). AI must understand each modality and the […]

Purpose: Online consumer reviews (OCRs) have emerged as a particularly important type of user-generated information about a brand because of their widespread adoption and influence on consumer decision-making. Much of the existing OCR research focuses on quantifiable OCR features such as star ratings and volume. More research that examines the influence of review elements, aside from […]

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 […]

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 […]

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 […]

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 […]

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: 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 […]