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: 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: Scholars within the Berlin paradigm have analysed participants’ responses to a hypothetical vignette about a friend’s suicide ideation. However, no study has yet focused on participants’ emotional reactions to this scenario, an important aspect of wisdom performance. We conducted a Thin‐Slice Wisdom study where participants were asked to give advice to a hypothetical friend contemplating […]

Abstract: The majority of research on the judgment of emotion from facial expressions has focused on deliberately posed displays, often sampled from single stimulus sets. Herein, we investigate emotion recognition from posed and spontaneous expressions, comparing classification performance between humans and machine in a cross-corpora investigation. For this, dynamic facial stimuli portraying the six basic […]

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: Purpose The purpose of this paper is to analyze how political marketing management in terms of communication practices influence the voters’ emotional responses as they observe and listen to the discourse of a political leader. Design/methodology/approach An experiment was conducted, in which participants watched the last debate of the campaign leading up the Peruvian […]

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: 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 […]

Abstract: Native advertising is a type of online advertising that matches the form and function of the platform on which it appears. In practice, the choice between display and in-feed native advertising presents brand advertisers and online news publishers with conflicting objectives. Advertisers face a trade-off between ad clicks and brand recognition, whereas publishers need […]