Abstract: The purpose of this study was to illustrate that people’s affective valuation of exercise can be identified in their faces. The study was conducted with a software for automatic facial expression analysis and it involved testing the hypothesis that positive or negative affective valuation occurs spontaneously when people are reminded of exercise. We created […]

Abstract: The goal of this study was to examine college students’ (n = 61) contextualized emotions during in-game actions while playing CRYSTAL ISLAND, a game-based learning environment where students are tasked with solving the mystery of what illness impacted all island inhabitants. We examined emotions during in-game actions: during book reading, after scanning food items for the […]

Abstract: A safe transition between autonomous and manual control requires sustained visual attention of the driver for the perception and assessment of hazards in dynamic driving environments. Thus, drivers must retain a certain level of situation awareness to safely takeover. Understanding the visual attention allocation of drivers can pave the way to inferring their dynamic […]

Abstract: The impact of built environment on the human restorativeness has long been argued; however, the interrelations between neuroscience and the built environment, and the degree to which the built environment contributes to increased human restorativeness has not been completely understood yet. Understanding the interrelations between neuroscience and the built environment is critical as 90% […]

Abstract: Game-based learning environments are designed to foster high levels of student engagement and motivation during learning of complex topics. Game-based learning environments allow students freedom to navigate a space to interact with game elements that foster learning, i.e., agency. Agency has been studied in learning, and it has been demonstrated that increased student agency […]

Abstract: Human emotions unfold over time, and more affective computing research has to prioritize capturing this crucial component of real-world affect. Modeling dynamic emotional stimuli requires solving the twin challenges of time-series modeling and of collecting high-quality time-series datasets. We begin by assessing the state-of-the-art in time-series emotion recognition, and we review contemporary time-series approaches […]

Abstract: Literature indicates that both academic tasks (Deater-Deckard et al. 2013; Skinner et al. Educational and Psychological Measurement, 69(3): 493–525, 2009) and video gaming (Irwin The Journal of Psychology, 133, 157–164, 1999; Laffan et al. Computers in Human Behavior, 65, 544–549, 2016; Whitton Simulation & Gaming, 42(5), 596–609, 2011) have qualities that engage and captivate […]

Abstract:  The purpose of this study is to examine the interaction effect between online Cause-Related Marketing (CRM) advertisements and brand reputation on consumers’ brand evaluation in the hotel industry. Two experimental studies were conducted: (1) a survey-based experiment that demonstrates the moderating role of brand reputation, and (2) a laboratory experiment using psychophysiological measurements of emotional […]

Abstract: In the investigative field, the use of interviews as a method of gathering legally admissible information is in serious decline. Due to a greater understanding of human stress response and biometric measurements, previously objective tools such as the polygraph have been removed from the investigators toolkit. Newer methods of biometric monitoring can potentially help […]

Abstract: The complex world around us is inherently multimodal and sequential (continuous). Information is scattered across different modalities and requires multiple continuous sensors to be captured. As machine learning leaps towards better generalization to real world, multimodal sequential learning becomes a fundamental research area. Arguably, modeling arbitrarily distributed spatio-temporal dynamics within and across modalities is […]