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Statistical emotion control: Comparing intensity and duration of emotional reactions based on facial expressions
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 […] -
What happens to your body during learning with computer-based environments? Exploring negative academic emotions using psychophysiological measurements
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 […] -
Cognitive and emotional engagement while learning with VR: The perspective of multimodal methodology
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 […] -
Influence of Label Design and Country of Origin Information in Wines on Consumers’ Visual, Sensory, and Emotional Responses
This study aimed to evaluate the influence of origin information on Pinot Noir wine labels using eye-tracking and its associations with purchase intent, and hedonic and subconscious emotional responses. Two studies were carried out on untrained university staff and students aged 20–60 years old. Study 1 was conducted to assess consumers’ (n = 55; 55% males, […] -
Automotive Emotions: The Effect of Gender
The emotional responses to interactions with automobiles can provide insights into what works well and what works less well for people. The measurement of human emotions has thus become increasingly popular in recent times. A question which can however arise is whether statistically significant differences can occur due mainly to gender. The present investigation analysed […] -
Measuring the Impact of Packaging in Wine, a Neuromarketing Study
The wine sector is of extraordinary relevance in Spain, not only from an economic or environmental point of view, but also from a social and cultural point of view. In this research work for Gil Family Estates (a Spanish company in the wine sector), results of a market study with three approaches will be presented: […] -
“Sound” Decisions: The Combined Role of Ambient Noise and Cognitive Regulation on the Neurophysiology of Food Cravings
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 […] -
Data-driven analysis of gaze patterns in face perception: Methodological and clinical contributions
Gaze patterns during face perception have been shown to relate to psychiatric symptoms. Standard analysis of gaze behavior includes calculating fixations within arbitrarily predetermined areas of interest. In contrast to this approach, we present an objective, data-driven method for the analysis of gaze patterns and their relation to diagnostic test scores. This method was applied to […] -
Capturing food-elicited emotions: Facial decoding of children’s implicit and explicit responses to tasted samples
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 […] -
Caught in the Act: Detecting Respondent Deceit and Disinterest in On-Line Surveys. A Case Study Using Facial Expression Analysis
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 […]
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519 publications in all
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