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  • The Impact of Contextualized Emotions on Self-Regulated Learning and Scientific Reasoning during Learning with a Game-Based Learning Environment
    Open AccessPeer-Reviewed16/12/2019University of Central Florida + 2
    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 […]

  • The agency effect: The impact of student agency on learning, emotions, and problem-solving behaviors in a game-based learning environment
    GatedPeer-Reviewed05/12/2019University of Central Florida + 2
    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 […]

  • Sadder but wiser: Emotional reactions and wisdom in a simulated suicide intervention
    GatedPeer-Reviewed02/12/2019Hangzhou Normal University + 4
    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 […]

  • Emotion recognition from posed and spontaneous dynamic expressions: Human observers vs. machine analysis
    Open AccessPeer-Reviewed01/12/2019University College London + 5
    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 […]

  • Investigating the detection of emotion concealment using the Gazepoint GP3 eye-tracker
    Open AccessPeer-Reviewed29/11/2019University of Windsor
    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 […]

  • Rhetorical strategies and emotions in political marketing management
    GatedPeer-Reviewed26/11/2019Universidad del Pacífico, Lima, Perú
    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 […]

  • Modeling emotion in complex stories: the Stanford Emotional Narratives Dataset
    Open AccessPeer-Reviewed26/11/2019National University of Singapore + 4
    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 […]

  • Factorized Multimodal Transformer For Multimodal Sequential Learning
    Open AccessPeer-Reviewed22/11/2019Singapore University of Technology and Design
    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 […]

  • Native Advertising in Online News: Trade-Offs Among Clicks, Brand Recognition, and Website Trustworthiness
    Open AccessPeer-Reviewed10/11/2019University of Michigan
    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 […]

  • Panic Attack: How Illegitimate Invasions of Privacy Cause Consumer Anxiety and Dissatisfaction
    Open AccessPeer-Reviewed05/11/2019University of Alabama + 4
    Abstract: This research fills a gap in the literature regarding face-to-face privacy invasions. Most research in the privacy arena examines information privacy (e.g., credit card and data information) and ignores the privacy component of face-to-face interactions. Using three studies, the authors explore the impact of physical and visual invasions on privacy control. The findings show […]

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