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  • Investigating the detection of emotion concealment using the Gazepoint GP3 eye-tracker
    Gated

    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 […]

  • Factorized Multimodal Transformer For Multimodal Sequential Learning
    Gated

    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 […]

  • Rhetorical strategies and emotions in political marketing management
    Gated

    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 […]

  • Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion
    Gated

    Abstract: Learning joint embedding space for various modalities is of vital importance for multimodal fusion. Mainstream modality fusion approaches fail to achieve this goal, leaving a modality gap which heavily affects cross-modal fusion. In this paper, we propose a novel adversarial encoder-decoderclassifier framework to learn a modality-invariant embedding space. Since the distributions of various modalities […]

  • Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis
    Gated

    Abstract: Multimodal language analysis often considers relationships between features based on text and those based on acoustical and visual properties. Text features typically outperform non-text features in sentiment analysis or emotion recognition tasks in part because the text features are derived from advanced language models or word embeddings trained on massive data sources while audio […]

  • Native Advertising in Online News: Trade-Offs Among Clicks, Brand Recognition, and Website Trustworthiness
    Gated

    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
    Gated

    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 […]

  • Learning Multimodal Representations with Factorized Deep Generative Models
    Gated

    Abstract: Learning multimodal representations is a fundamentally complex research problem due to the presence of multiple heterogeneous sources of information. Although the presence of multiple modalities provides additional valuable information, there are two key challenges to address when learning from multimodal data: 1) models must learn the complex intra-modal and cross-modal interactions for prediction and […]

  • Service with a smiley face: Emojional contagion in digitally mediated relationships
    Gated

    Abstract: The lack of typical nonverbal cues in digitally mediated marketing communication (e.g., text messages, social media etc.) creates special challenges for marketers desiring to manage customer relationships. To overcome these limitations, marketers have turned to emojis to convey subtle meaning regarding the message sender (often a service provider) and to elicit positive emotion in […]

  • Socially transmitted placebo effects
    Gated

    Abstract: Medical treatments typically occur in the context of a social interaction between healthcare providers and patients. Although decades of research have demonstrated that patients’ expectations can dramatically affect treatment outcomes, less is known about the influence of providers’ expectations. Here we systematically manipulated providers’ expectations in a simulated clin-ical interaction involving administration of thermal […]

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