Sensory and consumer research increasingly aims to gain direct input from children to study their eating behaviour. However, answering self-administered questionnaires can be challenging for children. In this sense, the prediction of basic emotions via facial decoding, generating quantitative observational data, could offer an alternative to questionnaires. The present study aimed to measure children’s implicit […]

This explorative study aims to examine if electrodermal activity (EDA) and heart rate (HR) are appropriate measures for identifying and monitoring academic emotions during learning in computer-based learning environments (CBLEs). Understanding learners’ emotions while using CBLEs, allows improving the design of CBLEs. Therefore, we collected EDA, HR, and self-report data from 32 participants to measure […]

We explore the extent to which empathetic reactions are elicited when subjects view 3D motion-capture driven avatar faces compared to viewing human faces. Through a remote study, we captured subjects’ facial reactions when viewing avatar and humans faces, and elicited self reported feedback regarding empathy. Avatar faces varied by gender and realism. Results show no […]

Eye tracking is a promising technology offering objective metrics quantifying visual attention in various application fields. The employment in people with specific learning disabilities (SLDs), who reportedly manifest long-term functional social, emotional, and behavioral difficulties, provided well understandings of their visual attention, detecting cognitive processing mechanisms regarding specific SLD patterns. This study focuses on investigating […]

Our ability to evaluate long-term goals over immediate rewards is manifested in the brain’s decision circuit. Simplistically, it can be divided into a fast, impulsive, reward “system 1” and a slow, deliberate, control “system 2.” In a noisy eating environment, our cognitive resources may get depleted, potentially leading to cognitive overload, emotional arousal, and consequently […]

The aim is to develop an intelligent automatic facial expression recognition and emotion analysis (AFEREA) algorithm that, first, characterizes the time-based raw signals of biosensors in quantitative indicators of the emotional state of the individuals participating in an experiment and, second, compares the emotional reactions across them in terms of intensity and duration. The proposed […]

Electrodermal activity (EDA) is considered to be an effective metric for measuring changes in the arousal level of people. In this paper, the phasic component of EDA data from players is analyzed in relation to their reported experience from a standardized questionnaire, when interacting with a couple of virtual reality games that featured two different […]

Power systems control rooms are fast-paced, dynamic environments that require operators to maintain awareness of numerous pieces of information. A construct that has been previously used to examine operator ability to process and retain information is situation awareness. It is the process by which information is perceived, comprehended, and then used to project events that […]

This study uses a multimodal data analysis approach to provide a more continuous and objective insight into how students’ engagement unfolds and impacts learning achievements. In this study, 61 nursing students’ learning processes with a virtual reality (VR)-based simulation were captured by psycho-physiological data streams of facial expression, eye-tracking, and electrodermal activity (EDA) sensors, as well […]

Much social marketing research is done on-line recruiting participants through Amazon Mechanical Turk, vetted panel vendors, social media, or community sources. When compensation is offered, care must be taken to distinguish genuine respondents from those with ulterior motives. We present a case study based on unanticipated empirical observations made while evaluating perceived effectiveness (PE) ratings […]