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Subtle behavioural responses during negative emotion reactivity and down-regulation in bipolar disorder: A facial expression and eye-tracking study
Abstract: Abnormal processing of emotional information and regulation are core trait-related features of bipolar disorder (BD) but evidence from behavioural studies is conflicting. This study aimed to investigate trait-related abnormalities in emotional reactivity and regulation in BD using novel sensitive behavioural measures including facial expressions and eye movements. Fifteen patients with BD in full or […] -
A Case-Study in Neuromarketing: Analysis of the Influence of Music on Advertising Effectivenes through Eye-Tracking, Facial Emotion and GSR
Abstract: Music plays an important role in advertising. It exerts strong influence on the cognitive processes of attention and on the emotional processes of evaluation and, subsequently, in the attributes of the product. The goal of this work was to investigate these mechanisms using eye-tracking, facial expression and galvanic skin response (GSR). Nineteen university women […] -
Emotion in a 360-Degree vs. Traditional Format Through EDA, EEG and Facial Expressions
Abstract: Digital video advertising is growing exponentially. It is expected that digital video ad spending of the US will see double-digit growth annually through 2020 (eMarketer, 2016). Moreover, advertisers are spending on average more than $10 million annually on Digital Video, representing an 85% increase from 2 years (iab, 2016). This huge increase is mediated by […] -
Get Your Project Funded: Using Biometric Data to Understand What Makes People Trust and Support Crowdfunding Campaigns
Abstract: Creating a good crowdfunding campaign is difficult. By understanding why people contribute to crowdfunding campaigns we can make campaigns better and raise more money. Crowdfunding websites allow entrepreneurs to make a pitch, which is watched by potential funders. This article describes a pilot of an experiment that measures how people react to both successful […] -
Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph
Abstract: Analyzing human multimodal language is an emerging area of research in NLP. Intrinsically human communication is multimodal (heterogeneous), temporal and asynchronous; it consists of the language (words), visual (expressions), and acoustic (paralinguistic) modalities all in the form of asynchronous coordinated sequences. From a resource perspective, there is a genuine need for large scale datasets that […] -
Automated Pain Detection in Facial Videos of Children using Human-Assisted Transfer Learning
Abstract: Accurately determining pain levels in children is difficult, even for trained professionals and parents. Facial activity provides sensitive and specific information about pain, and computer vision algorithms have been developed to automatically detect Facial Action Units (AUs) defined by the Facial Action Coding System (FACS). Our prior work utilized information from computer vision, i.e. […] -
User Centred Design of Social Signals Feedback for Communication Skills Training
Abstract: Affective technologies enable the automatic recognition of human emotional expressions and nonverbal signals which play an important part in effective communication. This paper describes the use of user-centred design techniques to establish display designs suitable for feeding back recognised emotional and social signals to trainees during communication skills training. The channels of communication investigated […] -
Integrating metacognitive judgments and eye movements using sequential pattern mining to understand processes underlying multimedia learning
Abstract: Metacomprehension is key to successful learning of complex topics when using multimedia materials. The goal of this study was to determine if eye-movement dyads could be: (1) identified by sequence mining techniques, and (2) aligned with self-reported metacognitive judgments during learning with multimedia materials that contain conceptual discrepancies designed to interfere with participants’ metacomprehension. Thirty-two […] -
Impact of Learner-Centered Affective Dynamics on Metacognitive Judgements and Performance in Advanced Learning Technologies
Affect and metacognition play a central role in learning. We examine the relationships between students’ affective state dynamics, metacognitive judgments, and performance during learning with MetaTutorIVH, an advanced learning technology for human biology education. Student emotions were tracked using facial expression recognition embedded within MetaTutorIVH and transitions between emotions theorized to be important to learning […] -
The Effects of Designers Contextual Experience on the Ideation Process and Design Outcomes
Abstract: Personal context-specific experience can affect how a designer evaluates a design problem and proposes solutions. However, this effect was seldom discovered in a quantitative manner in problem-solving design tasks. This paper uses empirical evidence and quantitative methods to show the effects of novice designers’ contextual experience on design tasks, particularly as it relates to […]
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