Abstract: We propose a natural, 3D immersive and real-time representation of the mental state acquired through EEG. Unlike most other neurofeedback methods currently in use, which are mostly simplistic, synthetic representations, our approach will make use of rich natural visual metaphors, presented immersivity and user-centric. This powerful approach will stimulate deep neurofeedback-based learning and opens […]

Abstract: Objective Measurement of Wisdom within a short period of time is vital for both the public interest (e.g., understanding a presidential election) and research (e.g., testing factors that facilitate wisdom development). A measurement of emotion associated with wisdom would be especially informative; therefore, a novel Thin-Slice measurement of wisdom was developed based on the […]

Abstract: Given the evolutionary significance of survival, the mind might be particularly sensitive (in terms of strength and speed of reaction) to stimuli that pose an immediate threat to physical harm. To rectify limitations in past research, we pilot-tested stimuli to obtain images that are threatening, nonthreatening-negative, positive, or neutral. Three studies revealed that participants (a) […]

Abstract:  The current study examined the impact of agency on college students’ emotions and learning during gameplay with CRYSTAL ISLAND, a game-based learning environment designed to foster microbiology learning. 96 undergraduate students (59% female) from a large North American university participated in the study. Participants were randomly assigned to one of three experimental conditions (i.e., […]

Abstract:  Traditional methods of sensory testing focus on capturing information about multisensory perceptions, but do not necessarily measure emotions elicited by these food and beverages. The objective of this study was to develop an optimum model of predicting overall liking (rating) and preference (choice) based on taste intensity and evoked emotions. One hundred and two […]

Abstract:  Recent years have seen a growing recognition of the role that affect plays in learning. Because game-based learning environments elicit a wide range of student affective states, affect-enhanced student modeling for game-based learning holds considerable promise. This paper introduces an affect-enhanced student modeling framework that leverages facial expression tracking for game-based learning. The affect-enhanced […]

Abstract: Native advertising is a type of online advertising that matches the form and function of the platform on which it appears. The U.S. Federal Trade Commission (FTC) monitors this form of advertising and has established guidelines requiring advertisers to clearly mark their native ads to assure that consumers do not confuse them with content. Our […]

Abstract:  Companies rely on traditional market research, e.g. consumer tests and focus groups, for predicting consumer compliance. Since they investigate the conscious perception of a product, their results can be one of the causes of the high failure rate (40%) of products after the launch.  In recent years, experts in neurology, psychology and neuroscience have demonstrated […]

Abstract: In recent years, Mexico’s level of different physiological and mental negative states, such as stress have increased. This has among its consequences, low work production and social problems including the alarming numbers that nearly 43% of adults report high levels of stress. The increase of stress incidence in people aged 15–29 years, and the lack […]

Abstract: In this paper, we provide insights towards achieving more robust automatic facial expression recognition in smart environments based on our benchmark with three labeled facial expression databases. These databases are selected to test for desktop, 3D and smart environment application scenarios. This work is meant to provide a neutral comparison and guidelines for developers […]