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  • Subtle behavioural responses during negative emotion reactivity and down-regulation in bipolar disorder: A facial expression and eye-tracking study

    Gated

    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 […]

  • Sensing and Learning Human Annotators Engaged in Narrative Sensemaking

    Gated

    Abstract: While labor issues and quality assurance in crowdwork are increasingly studied, how annotators make sense of texts and how they are personally impacted by doing so are not. We study these questions via a narrative-sorting annotation task, where carefully selected (by sequentiality, topic, emotional content, and length) collections of tweets serve as examples of […]

  • Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between Modalities

    Gated

    Abstract: Multimodal sentiment analysis is a core research area that studies speaker sentiment expressed from the language, visual, and acoustic modalities. The central challenge in multimodal learning involves inferring joint representations that can process and relate information from these modalities. However, existing work learns joint representations by requiring all modalities as input and as a […]

  • Selective eye fixations on diagnostic face regions of dynamic emotional expressions: KDEF-dyn database

    Gated

    Abstract: Prior research using static facial stimuli (photographs) has identified diagnostic face regions (i.e., functional for recognition) of emotional expressions. In the current study, we aimed to determine attentional orienting, engagement, and time course of fixation on diagnostic regions. To this end, we assessed the eye movements of observers inspecting dynamic expressions that changed from […]

  • Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors

    Gated

    Abstract: Humans convey their intentions through the usage of both verbal and nonverbal behaviors during face-to-face communication. Speaker intentions often vary dynamically depending on different nonverbal contexts, such as vocal patterns and facial expressions. As a result, when modeling human language, it is essential to not only consider the literal meaning of the words but […]

  • Learning Robust Joint Representations for Multimodal Sentiment Analysis

    Gated

    Abstract: Multimodal sentiment analysis is a core research area that studies speaker sentiment expressed from the language, visual, and acoustic modalities. The central challenge in multimodal learning involves inferring joint representations that can process and relate information from these modalities. However, existing work learns joint representations using multiple modalities as input and may be sensitive […]

  • Comparing the Affectiva iMotions Facial Expression Analysis Software with EMG

    Gated

    Abstract: People’s faces display emotions, informing others about their affective states. In order to measure facial displays of emotion, Electromyography (EMG) has widely been used, requiring electrodes and technical equipment. More recently, emotion recognition software has been developed that detects emotions from videos. However, its validity and comparability to EMG is unclear. The aim of […]

  • An Analysis of Subliminal Static Images and Words Using Eye Tracking Techniques

    Gated

    This research used a Phenomenography approach of Eye Tracking to study the Biometric changes when participants were subjected to eight static subliminal images hidden in seven differently designed packages. Embeds or static subliminal stimulus in the form of pictures and words were hidden in seven different perfume packages and were used to study the changes […]

  • The effect of social jet lag in women undergraduates’ visual attention within an e-learning environment: an eye tracking study

    Gated

    (Publication in Spanish) E-learning environments require students to adapt their eye gaze pattern to navigate the website and to follow instructions in order to do a task or take an exam. On the other hand, social jet lag has been related to concentration and attention problems in young, especially among women. To determine the effect […]

  • Integrating Non-Invasive Neuroimaging and Computer Log Data to Improve Understanding of Cognitive Processes

    Gated

    Abstract: As non-invasive neuroimaging techniques become less expensive and more portable, we have the capability to monitor brain activity during various computer activities. This provides an opportunity to integrate brain data with computer log data to develop models of cognitive processes. These models can be used to continually assess an individual’s changing cognitive state and […]

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